BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Michigan Institute for Computational Discovery and Engineering - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Michigan Institute for Computational Discovery and Engineering X-ORIGINAL-URL:https://micde.umich.edu X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Detroit BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20241103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20250309T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20251102T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240708T090000 DTEND;TZID=America/Detroit:20240726T160000 DTSTAMP:20260604T011052 CREATED:20240611T033416Z LAST-MODIFIED:20240611T125750Z UID:10000684-1720429200-1722009600@micde.umich.edu SUMMARY:SciFM24 Summer School DESCRIPTION:The SciFM Summer School runs from July 8 to July 26. The first instance is going to be run in parallel at the University of Michigan (UM) and at Argonne National Laboratory (ANL). The focus will be on developing technical plans for specific instances for SciFMs\, a hackathon to jumpstart the construction of SciFMs\, as an incubator for ideas\, a training ground for researchers and students\, and further a vision for a national SciFM ecosystem. URL:https://micde.umich.edu/event/workshop-seminarscifm24-summer-school/ CATEGORIES:Aerospace Engineering,College Of Engineering,Computational Science,Engineering,Micde,Scientific Computing,Sciml,Workshops ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/06/Untitled-design-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240703T100000 DTEND;TZID=America/Detroit:20240703T110000 DTSTAMP:20260604T011052 CREATED:20240703T015400Z LAST-MODIFIED:20240703T015400Z UID:10000722-1720000800-1720004400@micde.umich.edu SUMMARY:SC2 Weekly Coffee Hour! DESCRIPTION:Join us every week for our Coffee Hour! It’s the perfect opportunity to take a break\, grab a cup of free coffee\, and chat with fellow club members about anything from current projects to the latest in scientific computing. Whether you’re a regular or new to the club\, this is a great chance to connect\, share ideas\, and unwind in good company. \nWhen: Wednesdays\, 10:00 AM\nWhere: Mujo Cafe (North Campus) \nLooking forward to seeing you there! URL:https://micde.umich.edu/event/sc2-weekly-coffee-hour-5/2024-07-03/ CATEGORIES:SC2,Workshops ATTACH;FMTTYPE=image/webp:https://micde.umich.edu/wp-content/uploads/2024/07/DALL·E-2024-07-02-21.41.23-A-modern-and-engaging-poster-for-a-Scientific-Computing-Student-Clubs-coffee-hour-featuring-digital-and-technology-themed-elements-like-circuit-patt.webp END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240618T150000 DTEND;TZID=America/Detroit:20240618T160000 DTSTAMP:20260604T011052 CREATED:20240703T023459Z LAST-MODIFIED:20240703T023459Z UID:10000726-1718722800-1718726400@micde.umich.edu SUMMARY:Scientific Computing Student Club General Meeting DESCRIPTION:Join Us at the Scientific Computing Club’s General Meeting! Don’t miss out on a chance to contribute your ideas and help shape the future of our club. Let’s connect\, collaborate\, and create something amazing together! \nWhere: Online ( Zoom ID: https://umich.zoom.us/j/2533176941) \nWhen: June 18th\, 2024\, Tuesday\, 3:00-4:00 PM \nMeeting Agenda: \n\nScientific Computing Trivia (3 questions\, 1 bonus question)\nWorkshop: Intro to coding quantum circuits and algorithms.\nProject Proposals\nAnnouncement URL:https://micde.umich.edu/event/scientific-computing-student-club-general-meeting-3/ CATEGORIES:SC2,Workshops ATTACH;FMTTYPE=image/webp:https://micde.umich.edu/wp-content/uploads/2024/07/DALL·E-2024-07-02-21.58.15-A-minimalist-poster-design-for-a-Scientific-Computing-Student-Club-general-meeting.-The-poster-should-feature-a-sleek-modern-aesthetic-with-a-stron.webp END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240419T110000 DTEND;TZID=America/Detroit:20240419T120000 DTSTAMP:20260604T011052 CREATED:20240412T011911Z LAST-MODIFIED:20240412T140752Z UID:10000680-1713524400-1713528000@micde.umich.edu SUMMARY:MICDE Fellowships Information Session DESCRIPTION:Applications for the $4\,500 2024-2025 MICDE Graduate Fellowships will open May 1\, 2024. Please join this Zoom session to learn more about the fellowships and how to submit a great application! \nThese fellowships are sponsored by the Michigan Institute for Computational Discovery & Engineering. For more information\, see https://live-umor-micde.pantheonsite.io/academic-programs/fellowships/. URL:https://micde.umich.edu/event/livestream-virtualmicde-fellowships-information-session/ LOCATION:Zoom Event CATEGORIES:Aerospace Engineering,Ai In Science And Engineering,Astronomy,big data,Biomedical Engineering,Biosciences,Biostatistics,Chemical Engineering,Chemistry,Civil and Environmental Engineering,Climate and Space Sciences and Engineering,College Of Engineering,Complex Systems,Computation,Computational Modeling,Computational Science,Computational Social Science,computer science,Data Science,Earth And Environmental Sciences,Ecology,Ecology And Evolutionary Biology,Economics,Education,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Epidemiology,Evolutionary Biology,Fellowship,Free,Funding,Generative Ai,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Data,High Performance Computing,Industrial and Operations Engineering,Interdisciplinary,Kinesiology,Life Science,Lsaresearch,Machine Learning,Materials Science,Mathematics,Mechanical Engineering,Medicine,Micde,Natural Language Processing,Natural Sciences,Naval Architecture and Marine Engineering,Neuroscience,Nuclear Engineering and Radiological Sciences,parallel computing,Pharmacy,Physics,Politics,Prospective Graduate Students,Psychology,Public Health,Public Policy,Rackham,Research,Robotics,Scholarship,Science,Scientific Computing,Sciml,Sociology,Statistics,Virtual,Webcast,Workshops ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/04/Fellowships-2024-info-session.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240416T180000 DTEND;TZID=America/Detroit:20240416T190000 DTSTAMP:20260604T011052 CREATED:20240521T230139Z LAST-MODIFIED:20240521T230139Z UID:10000681-1713290400-1713294000@micde.umich.edu SUMMARY:SC2 / Movie night DESCRIPTION:The Scientific Computing Student Club (SC2) is excited to invite you to an exclusive movie night event! We will be screening “The Imitation Game”\, a captivating film that delves into the life of Alan Turing and his groundbreaking work in computing. \nWhen: Tuesday\, April 16\, 2024 | 6:00 pm\nWhere: Environmental and Water Resources Building – Room 136 URL:https://micde.umich.edu/event/sc2-movie-night/ CATEGORIES:SC2 ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2024/05/mn.jpeg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240416T120000 DTEND;TZID=America/Detroit:20240416T130000 DTSTAMP:20260604T011052 CREATED:20240220T232015Z LAST-MODIFIED:20240414T192856Z UID:10000676-1713268800-1713272400@micde.umich.edu SUMMARY:Workshop / Seminar:MICDE Ph.D. Student Seminar: Anna Halstenbach and Katie Nissen DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public but we ask that all attendees register so that we can prepare properly. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \n  \nAnna Halstenbach: “Uncovering the network of political parties’ event sponsors in Germany”\nGray money in politics – those contributions that don’t fall under transparency regulations but cannot be made completely anonymous either\, for example sponsorships of political parties’ events – could change our understanding of money as a signal. However\, the fact that neither political parties nor firms are obliged to disclose such transactions makes studying them difficult. In the talk\, I will present one approach to measure gray money on the basis of tweets from party conferences.\n\nAnna Halstenbach\, Ph.D. candidate in Political Science and Scientific Computing\nAnna earned her Bachelor’s degree from the University of Mannheim and her Master’s degree from Heinrich Heine University Düsseldorf. Her current research analyzes the distinct incentives within the regulatory frameworks governing political party finances in Germany and the United States. Additionally\, she explores the impact of consumer behavior on firms’ decisions to be vocal about their political donations and take controversial political stances.\n\n\n\nRegister to attend this seminar\n\n\n\nKatie Nissen: “Climate Change Protests and Gender: The Influence of Role Incongruence on Support for Social Movements”\nIn recent years\, we have seen an increase in the incidences of radical protests about climate change in response to lackluster mitigation efforts worldwide. Historically\, the environmental movement as a whole has long been an issue space where women have held prominent leadership positions. However\, role congruity theory posits that women – due to being perceived as more passive and docile than men – may not be regarded as “proper” leaders of social movements\, especially when such movements use radical tactics. How does the interaction of protest tactics and leadership gendering affect support for the current climate movement? In this paper\, we report the results of a pilot survey experiment to address this question. Respondents were exposed to mock news stories about climate protests where they received one of four treatment conditions that varied the protest characteristics between combinations of radical/traditional tactics and women leadership/gender of leadership not specified. Respondents were then asked to report on their level of support for the movement\, level of support for the protest\, and the likelihood of the movement’s success. We also asked respondents to write in their most important reason for supporting the movement or not\, to which we applied basic topic modelling to extract key themes. Ultimately\, our pilot results show support for notion that radical protest tactics harm both support and perceptions of the movement\, but that gender of the protest leadership does not make a significant difference. We believe that the latter result is most likely due to weakness of the gender treatment in the survey experiment\, so future iterations of this work will seek to develop a stronger prime for this component of our analysis.\n\nKatie Nissen\, Ph.D. candidate in Political Science and Scientific Computing\nKatie is a current fourth year Joint PhD Candidate in Political Science and Scientific Computing. Her research is primarily about factors that influence climate change discourse and public opinion\, and her dissertation will focus on the effects of optimism and pessimism on climate attitudes.\n  \nRegister to attend this seminar URL:https://micde.umich.edu/event/workshop-seminarmicde-ph-d-student-seminar-anna-halstenbach-and-katie-nissen/ LOCATION:Duderstadt Center – 1180 CATEGORIES:Phd Seminar,Scientific Computing,Seminar,Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240412T150000 DTEND;TZID=America/Detroit:20240412T160000 DTSTAMP:20260604T011052 CREATED:20240207T221911Z LAST-MODIFIED:20240207T221911Z UID:10000671-1712934000-1712937600@micde.umich.edu SUMMARY:Lecture / Discussion:AIM/MICDE Seminar: Title TBA DESCRIPTION:Talk title & abstract are coming soon.\nBio: Boyce Griffith is a Professor in the Department of Mathematics and of Biomedical Engineering at the University of North Carolina\, where he is also an Adjunct Professor of Applied Physical Sciences and Associate Chair for Research in the Department of Mathematics. His research group focuses on the development and application of numerical methods for simulating fluid-structure interaction with a particular focus on models of the heart and its valves. Their core approach is based on extensions of the immersed boundary method fluid-structure interaction.\nContact: S. Alben URL:https://micde.umich.edu/event/lecture-discussionaim-micde-seminar-title-tba/ LOCATION:East Hall – 1084 CATEGORIES:Mathematics,Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240412T150000 DTEND;TZID=America/Detroit:20240412T160000 DTSTAMP:20260604T011052 CREATED:20240115T212036Z LAST-MODIFIED:20240604T125820Z UID:10000668-1712934000-1712937600@micde.umich.edu SUMMARY:MICDE/ MCAIM seminar: Boyce Griffith\, Professor at the University of North Carolina DESCRIPTION:Bio: Boyce Griffith is a Professor in the Department of Mathematics and Department of Biomedical Engineering at the University of North Carolina\, where he is also an Adjunct Professor of Applied Physical Sciences and Associate Chair for Research in the Department of Mathematics. His research group focuses on the development and application of numerical methods for simulating fluid-structure interaction with a particular focus on models of the heart and its valves. Their core approach is based on extensions of the immersed boundary method fluid-structure interaction. \nImmersed methods for fluid-structure interaction\nThe immersed boundary (IB) method is a framework for modeling systems in which an elastic structure interacts with a viscous incompressible fluid. The fundamental feature of the IB approach to such fluid-structure interaction (FSI) problems is its combination of an Eulerian formulation of the momentum equation and incompressibility constraint with a Lagrangian description of the structural deformations and resultant forces. In conventional IB methods\, Eulerian and Lagrangian variables are linked through integral equations with Dirac delta function kernels\, and these singular kernels are replaced by regularized delta functions when the equations are discretized for computer simulation. This talk will focus on three related extensions of the IB method. I first detail an IB approach to structural models that use the framework of large-deformation nonlinear elasticity. I will focus on efficient numerical methods that enable finite element structural models in large-scale simulations\, with examples focusing on models of the heart and its valves. Next\, I will describe an extension of the IB framework to simulate soft material failure using peridynamics\, which is a nonlocal structural mechanics formulation. Numerical examples demonstrate constitutive correspondence with classical mechanics for non-failure cases along with essentially grid-independent predictions of fluid-driven soft material failure. Finally\, I will introduce a reformulation of the IB large-deformation elasticity framework that enables accurate and efficient fluid-structure coupling through a version of the immersed interface method\, which is a sharp-interface IB-type method. Computational examples demonstrate the ability of this methodology to simulate a broad range of fluid-structure mass density ratios without suffering from artificial added mass instabilities\, and to facilitate subgrid contact models. I will also present biomedical applications of the methodology\, including models of clot capture by inferior vena cava filters. \n\n  \nThe MICDE Winter 2024 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE)\, the Department of Mathematics and the Michigan Center for Applied and Interdisciplinary Mathematics (AIM). \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \n  URL:https://micde.umich.edu/event/workshop-seminarmicde-mcaim-seminar-prof-boyce-griffith/ LOCATION:East Hall – 1084 CATEGORIES:College Of Engineering,Computational Science,Free,Graduate School,Lsaresearch,Mathematics,Micde,Micde Seminar,MICDE Seminar Series ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/01/Boyce-Griffith.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240409T120000 DTEND;TZID=America/Detroit:20240409T130000 DTSTAMP:20260604T011052 CREATED:20240220T232015Z LAST-MODIFIED:20240405T124240Z UID:10000675-1712664000-1712667600@micde.umich.edu SUMMARY:MICDE Ph.D. Student Seminar: Jeffrey Hatch and Jiadong Chen DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public but we ask that all attendees register so that we can prepare properly. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \n  \nJeffrey Hatch: An introduction to the many-body basis set amelioration method\nModeling the interaction of subatomic particles in chemical species has become a routine part of modern chemical research as this analysis can be used to find a system’s energy\, thermodynamic properties and more. The algorithms that can accomplish this vary in their accuracy and computational cost\, with more accurate methods generally incurring more cost. Additionally\, the more subatomic particles present\, the more costly the calculation will be. A computationally intensive family of methods known as select configuration interaction methods are generally thought of as the most accurate and most computationally expensive family of methods. However\, due to their high cost\, it is requisite that we investigate mechanisms of diminishing the cost while maintaining accuracy. The nature of one such method\, incremental full configuration interaction (iFCI) lends itself to accurate extrapolations based on much cheaper levels of theory in smaller basis sets. This is known as the many-body basis set amelioration (MBBSA) method. The MBSSA method has be shown to reduce the cost of a given calculation by as much as 80% without loss in the accuracy of the calculation.\n\nJeffrey Hatch\, Ph.D. candidate in Chemistry and Scientific Computing\nJeffrey is in the Zimmerman group in the chemistry department. He is interested in using HPC methods to improve quantum chemical calculations especially in the configuration interaction realm of electronic structure calculations.\n\n\n\nRegister to attend this seminar\n\n\n\nJiadong Chen: High dimensional phase diagrams: Engineering relative stability in 4-dimensions\nSequential learning algorithms based on Bayesian optimization are routinely being deployed for materials stability optimization in high-parameter spaces. We anticipate these optimization methods would perform better if they were built upon stronger priors\, for example\, as derived from the fundamental thermodynamics underlying the equilibrium behavior of materials. Here\, we present a thermodynamics-based technique to optimize the relative stability of a materials in high-dimensional thermodynamic space\, based on a new derivation of a generalized high-dimensional Clausius Clapeyron relation. Using this thermodynamic infrastructure\, we design several pathways to enhance the relative acid stability of Mn-oxides versus its dissolved states for potential electrochemical catalyst application. We construct a 4-D Pourbaix diagram with pH\, redox potential E\, particle radius 1/R and a chemical potential μK as axis. By exploring the gradients of the high-dimensional phase boundaries\, we derive first-principles insights that nano-sizing (1/R) and certain doping ions (μK) can stabilize some metastable Mn-oxides polymorphs\, where 1/R decreases acid stability and μK increases it. Our high-dimensional thermodynamic framework is a general method to engineer relative stability in parameter spaces that leverage multiple forms of thermodynamic work.\n\nJiadong Chen\, Ph.D. candidate in Materials Science and Engineering and Scientific Computing\nJiadong Chen is a 5th year PhD in materials science and engineering department\, Wenhao Sun group\, focusing on use computational and data-driven methods to predict materials stability and synthesis recipes.\n  \nRegister to attend this seminar URL:https://micde.umich.edu/event/workshop-seminarmicde-ph-d-student-seminar-jeffrey-hatch-and-jiadong-chen/ LOCATION:Duderstadt Center – 1180 CATEGORIES:Phd Seminar,Scientific Computing,Seminar,Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240403T090000 DTEND;TZID=America/Detroit:20240403T170000 DTSTAMP:20260604T011052 CREATED:20240115T212036Z LAST-MODIFIED:20240226T163136Z UID:10000667-1712134800-1712163600@micde.umich.edu SUMMARY:SciFM24 Conference DESCRIPTION:This event is the first of its kind\, dedicated to scientific foundation models (SciFM)\, that are set to revolutionize science in the same way Generative AI has transformed natural language.\nThis two-day conference will bring together some of the most renowned experts from the field of scientific foundation models who will share their insights and knowledge on various topics related to this field. The event will also feature engaging panel discussions\, informative workshops\, and a poster competition\, providing attendees\, with ample opportunities to learn\, network\, and engage. URL:https://micde.umich.edu/event/conference-symposiumscifm24-conference-2/ LOCATION:Rackham Graduate School (Horace H.) – Amphitheater CATEGORIES:Astronomy,Basic Science,Biology,Biomedical Engineering,Biosciences,Biostatistics,Chemistry,College Of Engineering,Complex Systems,Computational Science,Engineering Academic Calendar,Epidemiology,Evolutionary Biology,Faculty,Free,Information and Technology,Kinesiology,Lsaresearch,Mathematics,Medicine,Micde,Michigan Engineering,Michigan Robotics,Midas,Physics,Public Health,Rackham,Research,Science,Scientific Computing,Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240402T090000 DTEND;TZID=America/Detroit:20240402T170000 DTSTAMP:20260604T011052 CREATED:20240115T212035Z LAST-MODIFIED:20240226T163019Z UID:10000666-1712048400-1712077200@micde.umich.edu SUMMARY:SciFM24 Conference DESCRIPTION:This event is the first of its kind\, dedicated to scientific foundation models (SciFM)\, that are set to revolutionize science in the same way Generative AI has transformed natural language.\nThis two-day conference will bring together some of the most renowned experts from the field of scientific foundation models who will share their insights and knowledge on various topics related to this field. The event will also feature engaging panel discussions\, informative workshops\, and a poster competition\, providing attendees\, with ample opportunities to learn\, network\, and engage. URL:https://micde.umich.edu/event/conference-symposiumscifm24-conference/ LOCATION:Rackham Graduate School (Horace H.) – Amphitheater CATEGORIES:Astronomy,Basic Science,Biology,Biomedical Engineering,Biosciences,Biostatistics,Chemistry,College Of Engineering,Complex Systems,Computational Science,Engineering Academic Calendar,Epidemiology,Evolutionary Biology,Faculty,Free,Information and Technology,Kinesiology,Lsaresearch,Mathematics,Medicine,Micde,Michigan Engineering,Michigan Robotics,Midas,Physics,Public Health,Rackham,Research,Science,Scientific Computing,Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240312T180000 DTEND;TZID=America/Detroit:20240312T190000 DTSTAMP:20260604T011052 CREATED:20240521T231450Z LAST-MODIFIED:20240521T231450Z UID:10000682-1710266400-1710270000@micde.umich.edu SUMMARY:SC2 / General Club Meeting - deal.II basics DESCRIPTION:We are thrilled to invite you to our next Scientific Computing Student Club (SC2) meeting. Dive into the basics of deal.II\, a powerful C++ library used for solving partial differential equations. This meeting will feature exciting activities\, delicious food\, and opportunities to enhance your knowledge in scientific computing. \nWhen: Tuesday\, March 12\, 2024 | 6:00 – 7:00 pm\nWhere: 3330 Mason Hall on Central Campus and Online(zoom meeting ID: 97648798599) URL:https://micde.umich.edu/event/sc2-general-club-meeting-deal-ii-basics/ CATEGORIES:SC2 ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2024/05/meeting2-1-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240312T120000 DTEND;TZID=America/Detroit:20240312T130000 DTSTAMP:20260604T011052 CREATED:20240220T232015Z LAST-MODIFIED:20240220T232015Z UID:10000674-1710244800-1710248400@micde.umich.edu SUMMARY:Workshop / Seminar:MICDE Ph.D. Student Seminar: Hannah Van Wyk and Musawer Ahmad Saqif DESCRIPTION:Hannah Van Wyk will present her talk: Using a hidden markov model to pinpoint the date of the primary case in a dengue outbreak in rural Ecuador.\nAn infectious disease outbreak investigation typically consists of retrospectively determining information regarding the outbreak such as the timing of the primary case (the first case of the outbreak\, whether detected or not) and transmission dynamics that occurred prior to the outbreak. However\, information on the primary case is often hard to obtain\, especially in scenarios where the disease has a high asymptomatic ratio. Using a hidden Markov model\, we estimate the most likely date of the primary case of a dengue outbreak in a small community in northern coastal Ecuador.\n*Bio*:\nHannah is a doctoral student in the Department of Epidemiology. Her research involves using mathematical models of infectious diseases to understand transmission dynamics. She has a background in mathematics and computer science at her undergraduate institution and a Master of Public Health in Epidemiology.\nMusawer Ahmad Saqif will present his talk: Fracture and Collapse Simulation of UHPC Structures.\nThis presentation delves into the advanced simulation techniques for understanding the fracture and collapse behaviors of ultra-high performance concrete (UHPC) structures. Leveraging finite element modeling and experimental validation\, the study elucidates the critical mechanical properties and failure mechanisms of UHPC under various conditions. Through a detailed investigation of microstructural characteristics and their impact on macroscopic performance\, the research provides valuable insights into optimizing the design and resilience of UHPC structures against extreme loading scenarios. The findings contribute significantly to the field of civil engineering by enhancing the predictive capabilities for the structural integrity and durability of UHPC infrastructures.\n*Bio*:\nM. A. Saqif is a fifth year PhD student in Civil Engineering and Scientific Computing at the Computational Structural Simulation Lab. His research interest lies in fracture and collapse simulation of concrete structures.\n*The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public.\nIf you have any questions\, please email micde-events@umich.edu.* URL:https://micde.umich.edu/event/workshop-seminarmicde-ph-d-student-seminar-hannah-van-wyk-and-musawer-ahmad-saqif/ LOCATION:Duderstadt Center – 1180 CATEGORIES:Phd Seminar,Scientific Computing,Seminar,Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240305T120000 DTEND;TZID=America/Detroit:20240305T123000 DTSTAMP:20260604T011052 CREATED:20240220T232014Z LAST-MODIFIED:20240223T215755Z UID:10000673-1709640000-1709641800@micde.umich.edu SUMMARY:MICDE Ph.D. Student Seminar: Lingfeng Luo DESCRIPTION:Please register to attend \nLingfeng Luo will present: Gradient Boosting-Based Discrete Failure Time Model for Selecting Time-Varying Effects and Interactions as a part of the MICDE PhD Student Seminar Series. \nThe MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that all attendees register in advance so that we can be prepared with lunch for all attendees. \nIf you have any questions\, please email micde-events@umich.edu. \nPlease register to attend URL:https://micde.umich.edu/event/micde-ph-d-student-seminar-lingfeng-luo/ LOCATION:Duderstadt Center – 1180 CATEGORIES:Biostatistics,Phd Seminar,Scientific Computing,Seminar,Workshops ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/02/20240305-Luo.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240213T180000 DTEND;TZID=America/Detroit:20240213T190000 DTSTAMP:20260604T011052 CREATED:20240521T233502Z LAST-MODIFIED:20240521T233502Z UID:10000683-1707847200-1707850800@micde.umich.edu SUMMARY:SC2 / General Club Meeting - SSH and GIT Basics DESCRIPTION:We would like to invite you to our first general meeting of the Scientific Computing Student Club (SC2) meeting. Learn the basics of SSH and GIT in the workshop. Whether you’re new to version control and secure shell protocols or looking to refresh your skills\, this session is perfect for you! \nDon’t miss out on this opportunity to enhance your technical toolkit while enjoying great food and fun trivia! \nWhen: Tuesday\, February 13\, 2024 | 6:00 – 7:00 pm\nWhere: GGBL 2147 and Online(zoom meeting ID: 95105923757) URL:https://micde.umich.edu/event/sc2-general-club-meeting-ssh-and-git-basics/ CATEGORIES:SC2 ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2024/05/w24_m1_page-0001.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240126T120000 DTEND;TZID=America/Detroit:20240126T130000 DTSTAMP:20260604T011052 CREATED:20240110T163210Z LAST-MODIFIED:20240127T000733Z UID:10000664-1706270400-1706274000@micde.umich.edu SUMMARY:MICDE / CEE Seminar: Michael D. Shields\, Associate Professor of Civil & Systems Engineering at Johns Hopkins University DESCRIPTION:Bio: Michael D. Shields is an Associate Professor in the Department of Civil & Systems Engineering at Johns Hopkins University. He holds a secondary appointment in the Department of Materials Science and Engineering\, and is a fellow of the Hopkins Extreme Materials Institute. Prof. Shields conducts methodological research in uncertainty quantification (UQ) and probabilistic modeling for problems in mechanics\, materials science\, and physics with applications ranging from multi-scale material modeling to assessing the reliability and safety of large-scale structures. He received his Ph.D. in Civil Engineering and Engineering Mechanics from Columbia University in 2010\, after which he was employed as a Research Engineer in applied computational mechanics at Weidlinger Associates\, Inc. He joined the faculty at Johns Hopkins in 2013. For his work in UQ\, Prof. Shields has been awarded the ONR Young Investigator Award\, the NSF CAREER Award\, the DOE Early Career Award\, and the Johns Hopkins University Catalyst Award. Prof. Shields and his group also develop the open-source UQpy (Uncertainty Quantification with Python) software\, which is a general toolbox and development environment for UQ in computational\, mathematical\, and physical systems. \nUQ for ML and ML for UQ: Why Uncertainty Quantification and Machine Learning Go Hand-in-Hand\nUncertainty Quantification (UQ) and Machine Learning (ML) play an increasingly important role in physics-based computational modeling. Especially with the recent rise of scientific machine learning (SciML) and physics-informed ML\, new computational tools are being harnessed to solve bigger and more challenging problems. Moreover\, UQ has become an integral part of any physics-based modeling effort because our models\, as carefully developed as they may be\, are rife with uncertainties (both epistemic and aleatory) in their parameters\, inputs/excitations\, and sometimes in the form of the models themselves. When SciML methods are then applied in these applications\, additional uncertainties are introduced. In this talk\, I will broadly introduce the interrelated roles that UQ and ML play in physics-based modeling. I specifically distinguish between “UQ for ML” and “ML for UQ” and describe the important role that each plays in the modern physics-based computational modeling paradigm – demonstrating the role of UQ/ML in various applications of interest ranging from multi-scale materials modeling to high energy-density physics. \n  \n\n  \nThe MICDE Winter 2024 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Civil and Environmental Engineering (CEE). Dr. Shields will be hosted by Dr. Evgueni Filipov\, Associate Professor of Civil and Environmental Engineering. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu URL:https://micde.umich.edu/event/micde-cee-seminar-michael-d-shields-associate-professor-of-civil-systems-engineering-at-johns-hopkins-university/ LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States CATEGORIES:Featured Events,Micde Seminar,MICDE Seminar Series ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Michael-D.-Shields.png GEO:42.2914823;-83.7138452 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Johnson Rooms Lurie Engineering Center 3rd Floor LEC 3213ABC 1221 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1221 Beal Ave.:geo:-83.7138452,42.2914823 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240124T180000 DTEND;TZID=America/Detroit:20240124T190000 DTSTAMP:20260604T011052 CREATED:20240123T234104Z LAST-MODIFIED:20240123T234256Z UID:10000670-1706119200-1706122800@micde.umich.edu SUMMARY:SC2 / Scientific Computing Student Club Informational DESCRIPTION:Join us for the Scientific Computing Club Informational Session and embark on a journey at the intersection of science and technology. \nWhat to Expect: \n\nDiscover the world of scientific computing and its real-world applications.\nConnect with like-minded individuals who share your passion for cutting-edge technology.\nLearn about upcoming events\, workshops\, and collaborative projects.\n\nWho Should Attend: \n\nStudents interested in computational science and scientific programming.\nThose curious about the role of computing sciences in advancing scientific research.\n\nWhy Join the Scientific Computing Club? \n\nExpand your skills in programming languages such as Python\, C++\, and more.\nWanting to\nNetwork with professionals and researchers in the field.\nCollaborate and contribute to exciting and meaningful projects.\nExplore the latest trends and innovations in Machine Learning\, Artificial Intelligence\, High-Performance Computing\, and more!\n\nFor further information\, contact us at sc2-officers@umich.edu \nWhen: Thursday\, January 24\, 2024 | 6:00 – 7:00 pm\nWhere: 3330 Mason Hall on Central Campus and Online(zoom meeting ID: 95063831722) URL:https://micde.umich.edu/event/sc2-scientific-computing-student-club-informational-2/ CATEGORIES:SC2 ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/01/flyer_rev_4.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240118T180000 DTEND;TZID=America/Detroit:20240118T190000 DTSTAMP:20260604T011052 CREATED:20240117T221155Z LAST-MODIFIED:20240117T221701Z UID:10000669-1705600800-1705604400@micde.umich.edu SUMMARY:SC2 / Scientific Computing Student Club Informational DESCRIPTION:Join us for the Scientific Computing Club Informational Session and embark on a journey at the intersection of science and technology. \nWhat to Expect: \n\nDiscover the world of scientific computing and its real-world applications.\nConnect with like-minded individuals who share your passion for cutting-edge technology.\nLearn about upcoming events\, workshops\, and collaborative projects.\n\nWho Should Attend: \n\nStudents interested in computational science and scientific programming.\nThose curious about the role of computing sciences in advancing scientific research.\n\nWhy Join the Scientific Computing Club? \n\nExpand your skills in programming languages such as Python\, C++\, and more.\nWanting to\nNetwork with professionals and researchers in the field.\nCollaborate and contribute to exciting and meaningful projects.\nExplore the latest trends and innovations in Machine Learning\, Artificial Intelligence\, High-Performance Computing\, and more!\n\nFor further information\, contact us at sc2-officers@umich.edu \nWhen: Thursday\, January 18\, 2024 | 6:00 – 7:00 pm\nWhere: GGBL 2147 URL:https://micde.umich.edu/event/sc2-scientific-computing-student-club-informational/ CATEGORIES:SC2 ATTACH;FMTTYPE=application/pdf:https://micde.umich.edu/wp-content/uploads/2024/01/flyer_rev_3.pdf END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240116T180000 DTEND;TZID=America/Detroit:20240116T190000 DTSTAMP:20260604T011052 CREATED:20240112T162150Z LAST-MODIFIED:20240117T221313Z UID:10000665-1705428000-1705431600@micde.umich.edu SUMMARY:SC2 / Scientific Computing Student Club Informational DESCRIPTION:Join us for the Scientific Computing Club Informational Session and embark on a journey at the intersection of science and technology. \nWhat to Expect: \n\nDiscover the world of scientific computing and its real-world applications.\nConnect with like-minded individuals who share your passion for cutting-edge technology.\nLearn about upcoming events\, workshops\, and collaborative projects.\n\nWho Should Attend: \n\nStudents interested in computational science and scientific programming.\nThose curious about the role of computing sciences in advancing scientific research.\n\nWhy Join the Scientific Computing Club? \n\nExpand your skills in programming languages such as Python\, C++\, and more.\nWanting to\nNetwork with professionals and researchers in the field.\nCollaborate and contribute to exciting and meaningful projects.\nExplore the latest trends and innovations in Machine Learning\, Artificial Intelligence\, High-Performance Computing\, and more!\n\nThis is an online event in Zoom: https://umich.zoom.us/j/97173611273 \nFor further information\, contact us at sc2-officers@umich.edu URL:https://micde.umich.edu/event/scientific-computing-club-informational/ CATEGORIES:SC2 ATTACH;FMTTYPE=application/pdf:https://micde.umich.edu/wp-content/uploads/2024/01/flyer-demo.pdf END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20240116T140000 DTEND;TZID=America/Detroit:20240116T150000 DTSTAMP:20260604T011052 CREATED:20230913T020425Z LAST-MODIFIED:20240127T001751Z UID:10000629-1705413600-1705417200@micde.umich.edu SUMMARY:MICDE / Astronomy Seminar: Shy Genel\, Associate Research Scientist at the Flatiron Institute\, Simons Foundation DESCRIPTION:Bio: Dr. Shy Genel is an astrophysicist working in the field of computational galaxy formation and cosmology; he is studying how galaxies form and evolve and how they can be used to infer fundamental properties of our Universe. The main tool he employs in his research is cosmological hydrodynamical simulations\, which run on supercomputers and generate digital ‘mini-universes’ that can be analyzed in ways that are not available with observational data. In recent years he has been employing machine learning models to develop novel ways to extract information from this type of simulations.\nDr. Genel received his PhD in 2011 under the guidance of 2020 Nobel Prize in Physics laureate Prof. Reinhard Genzel at the Max-Planck-Institute for Extraterrestrial Physics in Garching\, near Munich. Between 2011-2016 he completed post-doctoral fellowships at the Harvard-Smithsonian Center for Astrophysics and at Columbia University\, and in 2016 he joined the newly-founded Center for Computational Astrophysics at the Flatiron Institute (a division of the Simons Foundation)\, where he serves today as a Research Scientist. \nCosmological Hydrodynamical Simulations and Machine Learning at the Intersection of Galaxy Formation and Cosmology\nAs galaxy surveys encode a wealth of information about the basic properties of our Universe\, improved modeling of galaxy formation will result in improved constraints on cosmology and fundamental physics. Cosmological hydrodynamical simulations\, which follow the coupled evolution of dark and ‘normal’ matter from cosmologically motivated initial conditions\, are a primary tool for studying how galaxies form. After a brief review of the revolution of the past decade in the scale and fidelity of cosmological simulations\, I will discuss a new direction the field is taking in the past few years\, where machine learning is opening new ways to extract cosmological information from the non-linear process of galaxy formation. \n  \n\n  \nThe MICDE Winter 2024 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Astronomy\, Dr. Genel will be hosted by Dr. Monica Valluri\, Research Professor of Astronomy. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \n  URL:https://micde.umich.edu/event/shy-genel-associate-research-scientist-flatiron-institute/ LOCATION:411 West Hall (1085 S. University)\, 1085 S. University Ave\, Ann Arbor\, MI\, 48109\, United States CATEGORIES:Featured Events,Micde Seminar,MICDE Seminar Series ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Shy-Genel.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231207T150000 DTEND;TZID=America/Detroit:20231207T160000 DTSTAMP:20260604T011052 CREATED:20231106T145227Z LAST-MODIFIED:20231215T040145Z UID:10000662-1701961200-1701964800@micde.umich.edu SUMMARY:MICDE Faculty seminar: Philip Roe\, Emeritus Professor\, Aerospace Engineering U-M DESCRIPTION:Zoom link \nBio:  Philip Roe is an Emeritus Professor of Aerospace Engineering at the University of Michigan. He is recognized for his pioneering work in the field of Computational Fluid Dynamics and Magnetohydrodynamics. Roe made many fundamental contributions to the development of high-resolution schemes for hyperbolic conservation laws. He is best known for his work on the flux difference splitting for compressible flows with shocks\, typically referred to as the Roe scheme. \nMusings of a Computational Philosopher\nPhilosophy sets a great story by asking the right questions. Indeed a correct answer to the wrong question is seldom of any value. You can even obtain tenure\, I am told\, by asking questions that you cannot yet answer. For the past decade\, I have been trying to ask the right questions about computing compressible flow\, and I hope here to provide a glimpse of the answers. \nA “good” algorithm should “obviously” be accurate\, cheap\, and robust. Of these three desiderata\, I will try here to clarify the notion of accuracy. Although clearly a good thing\, it is almost always defined asymptotically in terms of the behavior at small mesh size or low frequency. This sets precise goals for analysis\, and although accuracy can be achieved in this sense\, in practice we often cannot afford the asymptotic regime. Moreover\, when we deal with compressible flow\, we are forced to deal with high frequencies. We require in fact only rather modest accuracy at low frequency\, but must extend this into the high frequency regime\, and doing this will require answering different questions. I will discuss a double-pronged approach to finding these questions and their answers. \nThis approach demands that the information flow in the computer should closely match that in real life. A great advance toward this was made by introducing Godunov-type methods\, but these merely distinguish left from right\, and their reliance on one-dimensional physics has many drawbacks. However\, for many kinds of problem there are integral solutions to the linear initial-value problem in multiple dimensions. My first prong is to show how these can be used to derive algorithms for linear and nonlinear problems for compressible fluid flow and other applications. These algorithms have remarkable properties\, including true incompressible limits and automatic boundary conditions. The information flow is different for advective and non-advective modes of the solution. \nAs a second way to achieve correct information flow\, I employ solution derivatives as degrees of freedom. This Hermitian representation is common in computer graphics and signal processing but almost unknown in CFD. Its great benefit consists of keeping the stencil compact. This brings about sharp discontinuities\, extends the spectrum and reduces communication overheads. Recently\, with my graduate student Iman Samani\, I have used both prongs of my approach to produce fifth-order solutions for linear elastodynamics on unstructured grids with automatic handling of material interfaces and remote boundaries. I will present these results\, summarize what remains to be done and describe some target applications. URL:https://micde.umich.edu/event/micde-faculty-seminar-philip-roe-emeritus-professor-aerospace-engineering-u-m/ LOCATION:1109 FXB\, 1320 Beal Ave.\, Ann Arbor\, MI\, United States CATEGORIES:Aerospace Engineering,Micde Seminar,MICDE Seminar Series,Michigan Engineering ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/11/Philip-Roe.png GEO:42.290906;-83.713503 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1109 FXB 1320 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1320 Beal Ave.:geo:-83.713503,42.290906 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231205T120000 DTEND;TZID=America/Detroit:20231205T130000 DTSTAMP:20260604T011052 CREATED:20230926T191303Z LAST-MODIFIED:20231204T192114Z UID:10000654-1701777600-1701781200@micde.umich.edu SUMMARY:MICDE Ph.D. Student Seminars 2023-2024: Jeffrey Hatch DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that you register to attend the seminar. If you have any questions\, please email micde-events@umich.edu. \nComputational Methods in Chemistry\nAbstract coming soon… \nJeffrey Hatch\, Ph.D. candidate in Chemistry and Scientific Computing \nBio coming soon… \nRegister to attend this seminar URL:https://micde.umich.edu/event/phd-seminar-jeffrey-hatch/ LOCATION:2022 South Thayer Building CATEGORIES:Computation,Computational Modeling,Computational Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Michigan Engineering,Phd Seminar,Prospective Graduate Students,Rackham,Science,Scientific Computing,Seminar,Sessions,Talk ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Template-Speaker-3.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231128T120000 DTEND;TZID=America/Detroit:20231128T130000 DTSTAMP:20260604T011052 CREATED:20230914T150100Z LAST-MODIFIED:20260522T152930Z UID:10000641-1701172800-1701176400@micde.umich.edu SUMMARY:MICDE Ph.D. Student Seminars 2023-2024: Guoer Liu DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that you register to attend the seminar. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \nWhen Is Big Data Biased?\nUsing automation technology to gather and disseminate information to the public is commonly viewed as a government-led effort to enhance oversight and address the principal-agent problem in bureaucracy. However\, focusing on the expansion of China’s automatic ambient air quality monitoring network in the last decade (2012-2022)\, I argue that technology is being utilized as a tool to emphasize optics but overlook the substantive problems. I illustrate the idea with multiple original georeferenced data sets on the automatic monitoring network\, pollution sources\, and satellite-derived vegetation density across time and space. I show that\, while the automation initiative has improved the data quality in some ways\, the undersupply of automatic monitoring stations\, over-represented clean locations\, and non-random missing pollution records continue to contribute to inaccurate air pollution information. As long as political incentives to manipulate information persist\, actors can mold technology that operates without human intervention to serve their own interests. \nGuoer Liu\, Ph.D. candidate in Political Science and Scientific Computing\nGuoer Liu is a Ph.D. candidate in Political Science. Her dissertation project\, ‘‘From Oversight to Overlook’’ investigates how political determinants distort the technology infrastructure and create seemingly credible but inaccurate information to the public. \nAdvisors: Mary Gallagher\, Charles Shipan \nRegister to attend this seminar URL:https://micde.umich.edu/event/phd-seminar-guoer-liu/ LOCATION:2022 South Thayer Building CATEGORIES:Computation,Computational Modeling,Computational Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Michigan Engineering,Phd Seminar,Prospective Graduate Students,Rackham,Science,Scientific Computing,Seminar,Sessions,Talk ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Template-Speaker-2.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231127T140000 DTEND;TZID=America/Detroit:20231127T170000 DTSTAMP:20260604T011052 CREATED:20230830T164539Z LAST-MODIFIED:20260522T154727Z UID:10000625-1701093600-1701104400@micde.umich.edu SUMMARY:Women in Computational Science Mini-Symposium (DISCOVER) DESCRIPTION:Women in Computational Science\n \n \n \n \n \n The Women in Computational Science Symposium is the inaugural event for MICDE’s DISCOVER (Diversity and Innovation in Scientific Computing: Opportunities for Valuing Exploration and Representation) mini-symposium series. This mini-symposium provides a unique opportunity to delve into the pioneering research conducted by women in computational science while also gaining insight into their personal experiences and the challenges they face as researchers.\nThis year’s Women in Computational Science Symposium features: \nKeynote speaker: Katrin Heitmann\, Deputy Division Director Argonne National Laboratory – @ 3 pm\nBio: Katrin Heitmann is the deputy director of Argonne’s High Energy Physics division\, and a physicist and computational scientist. She is also a Senior Associate for the Kavli Institute for Cosmological Physics at the University of Chicago and a member of NAISE at Northwestern. Before joining Argonne\, Katrin was a staff member at Los Alamos National Laboratory. Her research currently focuses on computational cosmology\, in particular on trying to understand the causes for the accelerated expansion of the Universe. She is responsible for large simulation campaigns with HACC and for the tools in the associated analysis library\, CosmoTools. Katrin is a member of several major astrophysical surveys that aim to shed light on this question and is currently the Spokesperson for the LSST Dark Energy Science Collaboration. \nExploring the Dark Universe \nCosmology – the study of the origin\, evolution\, and constituents of the Universe – is now entering one of its most scientifically exciting phases. Three decades of surveying the sky have culminated in the celebrated “Cosmological Standard Model”. Yet\, two of its key pillars\, dark matter\, and dark energy – together accounting for 95% of the mass-energy of the Universe – remain mysterious. Next-generation observatories will open new routes to understand the true nature of the “Dark Universe”. These observations will pose tremendous challenges on many fronts – from the sheer size of the data that will be collected to its modeling and interpretation. The interpretation of the data requires sophisticated simulations on the world’s largest supercomputers. The cost of these simulations\, the uncertainties in our modeling abilities\, and the fact that we have only one Universe that we can observe opposed to carrying out controlled experiments\, all come together to create a major test for statistical methods of data analysis. In this talk\, I will give a brief introduction to the Dark Universe and outline the challenges ahead. I will describe how complex\, large-scale simulations will be used to extract the cosmological information from ongoing and next-generation surveys. \nGuest speakers @ 2 pm\nLiz Livingston\, PhD candidate in Mechanical Engineering and Scientific Computing at U-M \nTitle: Data to Differential Equations – Discovering Mathematical Models for Biological Systems \nBio: Liz Livingston is a 5th year PhD candidate in Mechanical Engineering and Scientific Computing at the University of Michigan\, advised by Professor Krishna Garikipati and Professor Alberto Figueroa. Her research focuses on data-driven modeling of biological systems. This work spans a range of topics including biomechanics\, numerical methods\, and high-performance computing. She received her BS and MS degrees from the University of Illinois at Urbana-Champaign where she studied the strength and microstructure of bone. Liz enjoys teaching and cultivates this interest through hands-on experience\, outreach\, and involvement in the American Society for Engineering Education (ASEE). \nAbstract: Complex phenomena\, such as those observed in biological systems\, can typically be modeled with partial differential equations (PDEs). Finding governing equations can be a daunting task\, often involving simplifications to the system such that the PDE does not fully capture the physics of the problem. Instead of reducing the complexity of the system with successive approximations\, the governing PDE can be discovered using data. One of the fastest and most popular techniques is machine learning\, where a surrogate is found as an approximation to the function. Alternatively\, inference techniques may be used to identify the strong or weak form of the governing equation via parameter estimation. The tools we develop for the discovery of governing equations have applications in many complex systems\, including biological ones such as flow through a stenosed artery and fracture in soft tissues. The goal of my PhD thesis is to develop and improve these mathematical methods to help expand our understanding of complex biological systems. \n  \nRachel Niemer\, Managing Director of WISE (Women in Science and Engineering) \nTitle: Who is WISE for and what should we do? Exploring levers of change to foster equity in STEM \nWISE info: The University of Michigan is at the forefront of equality in science and engineering\, and our focus on diversity\, equity\, and inclusion spans multiple dimensions\, including gender\, race\, SES\, first generation status\, to name a few. The University of Michigan’s Women in Science and Engineering (WISE) unit aims to increase the participation by women and gender minorities in careers in science\, technology\, engineering and mathematics\, and to foster their academic and professional success. We do this by cultivating students’ skills to thrive in STEM\, strengthening the community working toward STEM equity\, and working to mitigate systemic forces that impede retention of women\, and individuals from other historically underrepresented groups\, in STEM. \nAbstract: As we look at the evolving landscape of where women\, and other individuals from historically marginalized groups\, thrive and persist in STEM\, it makes sense to ask why more progress hasn’t been made. Women in Science and Engineering has been a resource for U-M students in STEM since 1980. Over that time\, WISE\, and similar units at other institutions\, have experimented with a range of interventions to help women thrive in STEM. What if we chose the wrong levers for change? Are there radically new ways we might support efforts to graduate more STEM majors from minoritized communities? This presentation will explore different models for advancing STEM equity. \nPanel discussion on navigating scientific careers – @ 4:10 pm\n\n\n\nKatrin Heitmann\, Deputy Division Director Argonne National Laboratory\nLisa Mesaros\, Vice President\, Product Management\, Simulation and Test Solutions at Siemens Digital Industries Software\nLiz Livingston\, Clare Boothe Luce Fellow & PhD candidate in Mechanical Engineering and Scientific Computing\, University of Michigan\nRachel Niemer\, Managing Director of WISE (Women in Science and Engineering)\, University of Michigan URL:https://micde.umich.edu/event/conference-symposiummicde-discover-mini-symposium/ LOCATION:West Hall – 340 CATEGORIES:Discover,DISCOVER Series,Featured Events,Micde,Micde Seminar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231114T123000 DTEND;TZID=America/Detroit:20231114T130000 DTSTAMP:20260604T011052 CREATED:20230914T150100Z LAST-MODIFIED:20231103T200940Z UID:10000640-1699965000-1699966800@micde.umich.edu SUMMARY:MICDE Ph.D. Student Seminars: Jamie Holber DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that you register to attend the seminar. If you have any questions\, please email micde-events@umich.edu. \nActive Learning for Physics Informed Data Sampling and Construction of Free Energy Representations\nUsing automation technology to gather and disseminate information to the public is commonly viewed as a government-led effort to enhance oversight and address the principal-agent problem in bureaucracy. However\, focusing on the expansion of China’s automatic ambient air quality monitoring network in the last decade (2012-2022)\, I argue that technology is being utilized as a tool to emphasize optics but overlook the substantive problems. I illustrate the idea with multiple original georeferenced data sets on the automatic monitoring network\, pollution sources\, and satellite-derived vegetation density across time and space. I show that\, while the automation initiative has improved the data quality in some ways\, the undersupply of automatic monitoring stations\, over-represented clean locations\, and non-random missing pollution records continue to contribute to inaccurate air pollution information. As long as political incentives to manipulate information persist\, actors can mold technology that operates without human intervention to serve their own interests. \nJamie Holber\, Ph.D. candidate in Applied Physics and Scientific Computing \nJamie Holber is a PhD Candidate in Applied Physics and Scientific Computing working in the Computational Physics Group in the Mechanical Engineering Department. \nAdvisor: Krishna Garikipati \nRegister to attend this seminar URL:https://micde.umich.edu/event/phd-seminar-jamie-holber/ LOCATION:2022 South Thayer Building CATEGORIES:Computation,Computational Modeling,Computational Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Michigan Engineering,Phd Seminar,Prospective Graduate Students,Rackham,Science,Scientific Computing,Seminar,Sessions,Talk ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/20231114-Jamie-Holber.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231114T080000 DTEND;TZID=America/Detroit:20231114T190000 DTSTAMP:20260604T011052 CREATED:20231020T163041Z LAST-MODIFIED:20231020T163041Z UID:10000660-1699948800-1699988400@micde.umich.edu SUMMARY:Conference / Symposium:U-M Data Science & AI Summit 2023 DESCRIPTION:The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research\, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty\, staff\, and trainees\, as well as industry\, government and community members).\nTo view full Summit schedule\, please visit the event webpage at https://midas.umich.edu/midas-summit-2023/.\nKeynotes:\nSuresh Venkatasubramanian\, Director\, Center for Technological Responsibility\, Reimagination\, and Redesign\, Data Science Institute at Brown University; Professor of Data Science and Computer Science\, Brown University – Key player for the White House Blueprint of an AI Bill of Rights\nJulianne Dalcanton\, Director\, Center for Computational Astrophysics\, Flatiron Institute – The origina and evolution of galaxies\nEmre Kiciman\, Senior Principal Researcher\, Microsoft Research – A New Frontier at the Intersection of Causality and LLMs\nSummit Sessions:\nA panel discussion on: Federal priorities and opportunities in data science and AI\nPanelists:\n– Laura Biven\, Data Science Technical Lead\, Office of Data Science Strategy\, National Institutes of Health\n– Michael Molnar\, Director\, Advanced Manufacturing National Program Office\, National Institute of Standards and Technology\n– Hector Muñoz-Avila\, Program Director and Cluster Lead\, the Information Integration and Informatics Program\, National Science Foundation\n– Alvaro Velasquez\, Program Manager\, Information Innovation Office\, Defense Advanced Research Projects Agency\nResearch vision talks by University of Michigan faculty researchers\nThe Propelling Original Data Science grant awardees showcase\nPoster session\, lightning talks\, and awards\nUniversity of Michigan data science and AI organizations showcase URL:https://micde.umich.edu/event/conference-symposiumu-m-data-science-ai-summit-2023-2/ LOCATION:Rackham Graduate School (Horace H.) CATEGORIES:Ai In Science And Engineering,Applications,Artificial Intelligence,big data,Biostatistics,Climate and Space Sciences and Engineering,Computational Modeling,Computational Science,Computational Social Science,computing,Data Curation,Data Science,data visualization,Deep Learning,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Faculty,Free,Graduate,Graduate Students,Industrial and Operations Engineering,Information and Technology,Interdisciplinary,Lecture,Machine Learning,Michigan Engineering,Midas,Natural Language Processing,Networking,Science,Social Impact,symposium END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231113T080000 DTEND;TZID=America/Detroit:20231113T190000 DTSTAMP:20260604T011052 CREATED:20231020T163040Z LAST-MODIFIED:20231020T163040Z UID:10000659-1699862400-1699902000@micde.umich.edu SUMMARY:Conference / Symposium:U-M Data Science & AI Summit 2023 DESCRIPTION:The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research\, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty\, staff\, and trainees\, as well as industry\, government and community members).\nTo view full Summit schedule\, please visit the event webpage at https://midas.umich.edu/midas-summit-2023/.\nKeynotes:\nSuresh Venkatasubramanian\, Director\, Center for Technological Responsibility\, Reimagination\, and Redesign\, Data Science Institute at Brown University; Professor of Data Science and Computer Science\, Brown University – Key player for the White House Blueprint of an AI Bill of Rights\nJulianne Dalcanton\, Director\, Center for Computational Astrophysics\, Flatiron Institute – The origina and evolution of galaxies\nEmre Kiciman\, Senior Principal Researcher\, Microsoft Research – A New Frontier at the Intersection of Causality and LLMs\nSummit Sessions:\nA panel discussion on: Federal priorities and opportunities in data science and AI\nPanelists:\n– Laura Biven\, Data Science Technical Lead\, Office of Data Science Strategy\, National Institutes of Health\n– Michael Molnar\, Director\, Advanced Manufacturing National Program Office\, National Institute of Standards and Technology\n– Hector Muñoz-Avila\, Program Director and Cluster Lead\, the Information Integration and Informatics Program\, National Science Foundation\n– Alvaro Velasquez\, Program Manager\, Information Innovation Office\, Defense Advanced Research Projects Agency\nResearch vision talks by University of Michigan faculty researchers\nThe Propelling Original Data Science grant awardees showcase\nPoster session\, lightning talks\, and awards\nUniversity of Michigan data science and AI organizations showcase URL:https://micde.umich.edu/event/conference-symposiumu-m-data-science-ai-summit-2023/ LOCATION:Rackham Graduate School (Horace H.) CATEGORIES:Ai In Science And Engineering,Applications,Artificial Intelligence,big data,Biostatistics,Climate and Space Sciences and Engineering,Computational Modeling,Computational Science,Computational Social Science,computing,Data Curation,Data Science,data visualization,Deep Learning,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Faculty,Free,Graduate,Graduate Students,Industrial and Operations Engineering,Information and Technology,Interdisciplinary,Lecture,Machine Learning,Michigan Engineering,Midas,Natural Language Processing,Networking,Science,Social Impact,symposium END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231109T110000 DTEND;TZID=America/Detroit:20231109T130000 DTSTAMP:20260604T011052 CREATED:20231102T175811Z LAST-MODIFIED:20231115T151403Z UID:10000661-1699527600-1699534800@micde.umich.edu SUMMARY:SciML Webinar: Lenz Fiedler - Efficient calculations of electronic structures with machine-learning models DESCRIPTION:https://umich.zoom.us/j/95111677727?pwd=V1Q5MkUwT2NpOFVhd0ZRVGR1YTM3Zz09 \n\nSpeaker: Lenz Fiedler (Helmholtz-Zentrum Dresden-Rossendorf)\nSession Chair: Michael Herbst (EPFL) \nAbstract: Quantum mechanical calculations of the electronic structure of matter enable accessing interesting thermodynamical properties without the need for prior experimental measurements. Therefore\, electronic structure calculations are of great interest in fields such as materials discovery or drug design. At the forefront of such simulations lies density functional theory (DFT)\, due to its excellent balance between computational accuracy and efficiency. Yet\, as pressing environmental and social issues shift the research focus to increasingly complicated systems and conditions\, even the most efficient of DFT implementations are approaching their limitations in terms of computational feasibility. A possible route to enable more complex calculations lies with machine learning (ML)\, i.e.\, algorithms that are capable of capturing complicated relationships based on large amounts of data.\nIn this talk\, Lenz Fiedler will talk about current contributions of Center for Advanced Systems Understanding\, Helmholtz-Zentrum Dresden-Rossendorf (CASUS) w.r.t. building ML models that replace conventional DFT calculations. More precisely\, Lenz will talk about the current state of the Materials Learning Algorithms library (MALA)\, which allows easy training and inference for ML-DFT models that are developed by CASUS in cooperation with Sandia National Laboraties and Oak Ridge National Laboratory. In contrast to comparable frameworks\, MALA allows full access to the electronic structure of compounds\, including volumetric data as well as scalar quantities of interest\, such as energies. It will be shown how MALA models can operate efficiently across phase boundaries\, length scales and temperature ranges. URL:https://micde.umich.edu/event/sciml-webinar-lenz-fiedler-efficient-calculations-of-electronic-structures-with-machine-learning-models/ CATEGORIES:Micde,Scientific Computing,Sciml,SciML Webinar Series,Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231107T120000 DTEND;TZID=America/Detroit:20231107T130000 DTSTAMP:20260604T011052 CREATED:20230914T150100Z LAST-MODIFIED:20231019T200916Z UID:10000639-1699358400-1699362000@micde.umich.edu SUMMARY:MICDE Ph.D. Student Seminars: Bernardo Pacini & Srinivasan Arunachalam DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that you register to attend the seminar. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \nGradient-Based Multidisciplinary Design Optimization for Propeller Design\nUrban air mobility (UAM) vehicles have taken form as advanced rotorcraft with sets of wings\, rotors\, canards\, and other appendages. Noise generation is an important technical barrier that must be addressed to prevent these vehicles from causing excessive disturbance to the communities they are intended to service. To understand the noise these vehicles generate\, and to develop designs that can minimize disturbance\, there is a need for analysis and optimization tools specifically for the conceptual design and sizing phase of urban air mobility vehicle development. Such tools must be computationally efficient to allow for the repeated analyses needed for design optimization. This presentation will review the work being carried out at the University of Michigan\, coupling aerodynamic\, structural\, and aeroacoustic disciplines within the multidisciplinary gradient-based design optimization framework OpenMDAO. While aerostructural optimization has been performed previously\, coupling with aeroacoustics is challenging given the requirement for time accurate simulations and the associated computational cost of such analyses. By leveraging multiple model fidelities and utilizing efficient gradient calculation techniques\, such as the adjoint method and algorithmic differentiation\, these disciplines can be formulated into an optimization framework that can be applied to UAM vehicle designs. This presentation will review the work completed to date\, including preliminary results\, and expand on the future goals of the project\, working towards a broader optimization framework for rotorcraft vehicle design optimization. \nBernardo Pacini\, Ph.D. candidate in Mechanical Engineering and Scientific Computing \nBernardo Pacini is a Ph.D. Candidate at the University of Michigan focusing his research on aerodynamic\, structural\, and aeroacoustic modeling for multidisciplinary design optimization of urban air mobility vehicles. He is a member of the Multidisciplinary Design Optimization Laboratory led by Professor Joaquim R. R. A. Martins and of the Computational Aerosciences Laboratory led by Professor Karthik Duraisamy. Bernardo’s work to date is on developing an aero-structural-acoustic analysis framework that can be implemented within the multidisciplinary design optimization process for rotorcraft and urban air mobility vehicle design. \nRegister to attend this seminar \nValidation of a multivariate non-Gaussian\, non-stationary wind pressure simulation model for performance-based wind engineering\nWith a growing interest in probabilistic performance assessments of building systems subjected to wind loads\, there is a demand for accurately representing building-specific wind loads\, considering their non-Gaussian and non-stationary features. While typical wind tunnel data collected for a set of discrete wind directions provide a single realization of stationary pressures\, there is currently no experimentally validated model for the stochastic simulation of non-Gaussian and non-stationary wind pressures that can be calibrated to wind tunnel datasets. Such a model is essential for simulating building aerodynamics\, especially the stochastic\, path-dependent responses associated with time-varying wind speed and direction experienced by a building during hurricane wind events. This talk will review a recently developed theoretical formulation for generating these stochastic pressures. Through carefully designed tests conducted at the University of Florida wind tunnel facility\, the formulation was extensively validated with respect to its ability to capture trends over time\, occurrences of peaks\, and time-varying frequency content. \nSrinivasan Arunachalam\, Ph.D. candidate in Civil and Environmental Engineering and Scientific Computing \nSrinivasan Arunachalam is a PhD candidate in Civil and Environmental Engineering. His research interests lie in uncertainty quantification and understanding the inelastic behavior of wind-excited structures. He is excited about the algorithmic developments that enable efficient reliability assessments\, as well as the evolving insights into the physics of extreme responses and their implications for structural design. \nRegister to attend this seminar URL:https://micde.umich.edu/event/phd-seminar-bernardo-pacini-srinivasan-arunachalam/ LOCATION:2022 South Thayer Building CATEGORIES:Computation,Computational Modeling,Computational Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Michigan Engineering,Phd Seminar,Prospective Graduate Students,Rackham,Science,Scientific Computing,Seminar,Sessions,Talk ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/2023117-Bernardo-Pacini-and-SrinivasanArunachalam-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Detroit:20231101T150000 DTEND;TZID=America/Detroit:20231101T160000 DTSTAMP:20260604T011052 CREATED:20230913T004822Z LAST-MODIFIED:20231112T191452Z UID:10000628-1698850800-1698854400@micde.umich.edu SUMMARY:MICDE / NERS Seminar: Larry Aagesen\, Computational Scientist at Idaho National Laboratory DESCRIPTION:Bio: Dr. Larry Aagesen is a Computational Scientist at Idaho National Laboratory (INL)\, and is the leader of the Computational Microstructure Science group there. He is a member of the development team for Marmot\, INL’s application for simulating microstructural evolution in nuclear fuels and reactor structural materials\, which is based on MOOSE\, INL’s framework for solving partial differential equations using the finite element method. His primary area of expertise is in the phase-field method\, having developed phase-field models for a variety of physical phenomena\, including fission gas bubble evolution\, solid-state precipitation\, solidification and coarsening in metallic alloys and ceramics\, and semiconductor growth. He received his undergraduate degree in Physics at the University of California\, Berkeley in 1997\, followed by service in the U. S. Navy’s nuclear propulsion program and work in industry. He then returned to graduate school\, completing his Ph.D. in Materials Science and Engineering at Northwestern University in 2010. This was followed by appointment as a postdoctoral researcher and Assistant Research Scientist in the Department of Materials Science and Engineering at the University of Michigan from 2010 to 2015\, after which he joined INL. \nMulti-scale modeling of the evolution of structure and properties in materials for nuclear energy applications\nNuclear energy is an important component of an overall strategy to address climate change. Idaho National Laboratory (INL) is the U.S. Department of Energy’s primary facility for research and development in nuclear science and technology for energy generation\, supporting the improvement and life extension of the existing reactor fleet and the development and licensing of new reactor designs. Computational modeling is an important component of these activities\, particularly in the area of materials for nuclear applications\, where experimental data can be very challenging and expensive to acquire\, and where data is especially scarce for new reactor designs. INL has used multi-scale modeling – linking atomistic\, mesoscale\, and engineering scales – to improve the ability to predict the performance of materials for nuclear energy applications. These modeling efforts make extensive of MOOSE (Multiphysics Object-Oriented Simulation Environment)\, a general-purpose open source finite element framework developed at INL. In this talk\, I will give an overview of the approach and tools used\, and several examples of application\, including performance of nuclear fuels\, understanding radiation-driven formation of nanoscale void and gas bubble superlattices\, and powder densification through electric field assisted sintering. \n  \n\n  \nThe MICDE Fall 2023 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Nuclear Engineering and Radiological Sciences\, (NERS). Dr. Aagesen will be hosted by Dr. Kevin Field\, Associate Professor of Nuclear Engineering. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \n  URL:https://micde.umich.edu/event/larry-aagesen-computational-scientist-idaho-national-laboratory-inl/ LOCATION:2150 H.H. Dow\, 2300 Hayward St\, Ann Arbor\, 48109\, United States CATEGORIES:Featured Events,Micde Seminar,MICDE Seminar Series ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Larry-Aagesen.png GEO:42.2929214;-83.7154247 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2150 H.H. Dow 2300 Hayward St Ann Arbor 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2300 Hayward St:geo:-83.7154247,42.2929214 END:VEVENT END:VCALENDAR