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DTSTART;TZID=America/Detroit:20241014T121500
DTEND;TZID=America/Detroit:20241014T131500
DTSTAMP:20260603T185924
CREATED:20240924T215157Z
LAST-MODIFIED:20240926T204844Z
UID:10000758-1728908100-1728911700@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminars
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 request that all who plan to attend register in advance. \nIf you have any questions\, please email micde-phd@umich.edu.
URL:https://micde.umich.edu/event/workshop-seminarph-d-in-scientific-computing-student-seminars-14/
LOCATION:Undergraduate Science Building – 1250
CATEGORIES:Micde,Phd Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20241007T140000
DTEND;TZID=America/Detroit:20241007T150000
DTSTAMP:20260603T185924
CREATED:20240920T130536Z
LAST-MODIFIED:20240920T130536Z
UID:10000751-1728309600-1728313200@micde.umich.edu
SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/micde-midas-graduate-information-session-2/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20241004T120000
DTEND;TZID=America/Detroit:20241004T130000
DTSTAMP:20260603T185924
CREATED:20241002T220654Z
LAST-MODIFIED:20241104T140255Z
UID:10000774-1728043200-1728046800@micde.umich.edu
SUMMARY:FSML Lecture Series: Tokenization for Chemistry by Alex Wadell\, University of Michigan
DESCRIPTION:Alex Wadell is a PhD candidate at the University of Michigan Department of Mechanical Engineering. \nTokenization for Chemistry\nMolecular Foundation Models are emerging as a powerful tool for molecular design\, material science\, and cheminformatics. By leveraging the transformer architecture\, these models attempt to learn the language of chemistry and discover robust molecular embeddings. However\, current models are constrained by tokenizers that fail to capture the full breadth of chemical space or even the periodic table of elements. In his talk\, Alex will introduce smirk\, a new tokenizer for molecular foundation models that can represent the entirety of the OpenSMILES specification. We’ll also discuss performance metrics for tokenizers and the results of Alex’s systematic evaluation of thirteen chemistry-specific tokenizers using N-gram language models as a low-cost proxy for transformer models. \nIf you are unable to attend in person but are interested\, please feel free to join virtually. \nJoin Zoom Meeting\nhttps://umich.zoom.us/j/97823527756?pwd=H01BbvtuG5q02Wzb8LJvhUnvijlAIe.1\nMeeting ID: 978 2352 7756\nPasscode: 2024
URL:https://micde.umich.edu/event/lecture-discussionsciml-lecture-series/
LOCATION:Walter E Lay Auto Lab – 2052
CATEGORIES:FSML,Micde,Sciml
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/10/SciML-Lectures-e1727980667262.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20240930T150000
DTEND;TZID=America/Detroit:20240930T160000
DTSTAMP:20260603T185924
CREATED:20240920T130342Z
LAST-MODIFIED:20240920T130342Z
UID:10000750-1727708400-1727712000@micde.umich.edu
SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/micde-midas-graduate-information-session/
LOCATION:1100 North University Building – 1528
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20240925T150000
DTEND;TZID=America/Detroit:20240925T170000
DTSTAMP:20260603T185924
CREATED:20240910T182804Z
LAST-MODIFIED:20240910T183153Z
UID:10000748-1727276400-1727283600@micde.umich.edu
SUMMARY:MICDE Fellow Welcome Event
DESCRIPTION:MICDE is organizing a welcome event for its new fellows. During this event\, we will share with you the guidelines and process for utilizing your fellowship award funds\, as well as the resources and benefits you now have access to as a part of the MICDE community of fellows. Additionally\, you will receive a professionally-taken headshot free of charge (please dress accordingly). You will also have some time to introduce yourselves and get to know one another. Sandwiches\, cookies\, and beverages will be provided. \nRSVP HERE \n2024-25 MICDE fellow cohort only!
URL:https://micde.umich.edu/event/micde-fellow-welcome-event/
LOCATION:430S Green Ct Building\, 3520 Green Ct\, Ann Arbor\, MI\, 48105\, United States
CATEGORIES:Micde
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/08/MICDE-Fellow-Welcome-Event.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20240708T090000
DTEND;TZID=America/Detroit:20240726T160000
DTSTAMP:20260603T185924
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:20240419T110000
DTEND;TZID=America/Detroit:20240419T120000
DTSTAMP:20260603T185924
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:20240412T150000
DTEND;TZID=America/Detroit:20240412T160000
DTSTAMP:20260603T185924
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:20240403T090000
DTEND;TZID=America/Detroit:20240403T170000
DTSTAMP:20260603T185924
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:20260603T185924
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:20231127T140000
DTEND;TZID=America/Detroit:20231127T170000
DTSTAMP:20260603T185924
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:20231109T110000
DTEND;TZID=America/Detroit:20231109T130000
DTSTAMP:20260603T185924
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:20231027T160000
DTEND;TZID=America/Detroit:20231027T170000
DTSTAMP:20260603T185924
CREATED:20230913T002456Z
LAST-MODIFIED:20231112T073101Z
UID:10000627-1698422400-1698426000@micde.umich.edu
SUMMARY:MICDE / ME Seminar: Erik Draeger\, Director of the High Performance Computing Innovation Center and RADIUSS project at Lawrence Livermore National Laboratory
DESCRIPTION:Bio: Dr. Erik Draeger is the Director of the High Performance Computing Innovation Center and RADIUSS project at Lawrence Livermore National Laboratory as well as the Scientific Computing group leader at the Center for Applied Scientific Computing. He is also the Deputy Director of Application Development for the Exascale Computing Project\, jointly overseeing a portfolio of 22 Office of Science applications\, 4 NNSA applications\, and 7 co-design projects. Erik earned a Bachelor’s degree in Physics from the University of California\, Berkeley in 1995 and received a PhD in theoretical condensed matter physics from the University of Illinois\, Urbana-Champaign in 2001. He has over a decade of experience developing scientific applications to achieve maximum scalability and time to solution on next-generation architectures. He has been a finalist for the Gordon Bell Prize six times since 2005 and won the prize in 2006. \nSupercomputing at the exascale and beyond: future trends and challenges\nFor the past seven years\, the U.S. Department of Energy’s Exascale Computing Project (ECP) has funded a comprehensive push to refactor 24 application projects to efficiently utilize exascale computing hardware to solve a varied set of complex science and engineering problems. Ambitious performance and capability goals were set for each application that demanded end-to-end rethinking of traditional approaches. Through detailed performance analysis\, integration with optimized co-design frameworks and software libraries\, and the use of programming abstractions to manage data placement and kernel execution\, ECP applications recently demonstrated substantial capability and performance improvements on newly-available exascale machines. Despite significant diversity in the methods and algorithms underlying the ECP application portfolio\, several common themes emerged in how to best adapt computational workloads to heterogeneous architectures. In this talk\, an overview of best practices and lessons learned on effectively utilizing exascale hardware from the perspective of ECP applications will be presented. Strategies for developing portable\, performant code will be discussed and examples of reexamining traditional algorithms and methods will be described. Armed with this knowledge\, researchers can go beyond simply surviving an uncertain and turbulent computing future to instead leading a wave of scientific and computational innovation as traditional approaches are reexamined and new approaches adopted. \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 Mechanical Engineering (ME). Dr. Draeger will be hosted by Dr. Vikram Gavini\, Professor of Mechanical 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-me-seminar-erik-draeger-director-hpc-innovation-center-llnl-deputy-director-doe-exascale-computing-project/
LOCATION:1670 Bob and Betty Beyster Building\, 2260 Hayward Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,Micde,Micde Seminar,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Erik-Draeger.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231026T110000
DTEND;TZID=America/Detroit:20231026T130000
DTSTAMP:20260603T185924
CREATED:20231017T170318Z
LAST-MODIFIED:20231107T231334Z
UID:10000658-1698318000-1698325200@micde.umich.edu
SUMMARY:SciML Webinar: Bowen Deng - CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems.
DESCRIPTION:https://umich.zoom.us/j/95111677727?pwd=V1Q5MkUwT2NpOFVhd0ZRVGR1YTM3Zz09 \n\nSpeaker: Bowen Deng (UC Berkeley)\nSession Chair: Sakidja Ridwan (Missouri State University) \nAbstract: Large-scale simulations with complex electron interactions remain one of the greatest challenges for atomistic modeling. Although classical force fields often fail to describe the\ncoupling between electronic states and ionic rearrangements\, the more accurate ab-initio molecular dynamics suffers from computational complexity that prevents long-time and large-\nscale simulations\, which are essential to study technologically relevant phenomena. Our work presents the Crystal Hamiltonian Graph Neural Network (CHGNet)\, a graph-neural-\nnetwork-based machine-learning interatomic potential (MLIP) that models the universal potential energy surface. CHGNet is pretrained on the energies\, forces\, stresses\, and magnetic moments\nfrom the Materials Project Trajectory Dataset\, which consists of over 10 years of density functional theory calculations of ∼ 1.5 million inorganic structures. The explicit inclusion of\nmagnetic moments enables CHGNet to learn and accurately represent the orbital occupancy of electrons\, enhancing its capability to describe both atomic and electronic degrees of freedom.\nWe demonstrate several applications of CHGNet in solid-state materials and energy storage applications.
URL:https://micde.umich.edu/event/sciml-webinar-bowen-deng/
CATEGORIES:Micde,Scientific Computing,Sciml,SciML Webinar Series,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231019T110000
DTEND;TZID=America/Detroit:20231019T130000
DTSTAMP:20260603T185924
CREATED:20230915T150343Z
LAST-MODIFIED:20231025T194805Z
UID:10000646-1697713200-1697720400@micde.umich.edu
SUMMARY:SciML Webinar Ji Qi: DImensionality-Reduced Encoded Clusters with sTratified (DIRECT) sampling for Robust Training of Machine Learning Interatomic Potentials
DESCRIPTION:https://umich.zoom.us/j/95111677727?pwd=V1Q5MkUwT2NpOFVhd0ZRVGR1YTM3Zz09 \n\nSpeaker: Ji Qi (UC San Diego and LLNL)\nSession Chair: Daniel Schwalbe-Koda (UC Los Angeles) \nAbstract: Machine learning interatomic potentials (MLIPs) enable accurate simulations of materials at scales beyond conventional first-principles approaches\, and they have played increasingly important roles in understanding and design of materials. However\, MLIPs are only as accurate and robust as the data they are trained on. In this seminar\, I will present DImensionality-Reduced Encoded Clusters with sTratified (DIRECT) sampling as an approach to select a robust training set of structures from a large and complex configuration space. By applying DIRECT sampling on the Materials Project relaxation trajectories dataset with over one million structures and 89 elements\, we develop an improved materials 3-body graph network (M3GNet) universal potential that extrapolate more reliably to unseen structures. We further show that molecular dynamics (MD) simulations with universal potentials such as M3GNet can be used in place of expensive ab initio MD to rapidly create a large configuration space for target materials systems. For demonstration\, we combined this scheme with DIRECT sampling to develop a reliable moment tensor potential for titanium hydrides without the need for iterative augmentation of training structures. \nIn this seminar\, I will walk through two Jupiter notebooks to showcase DIRECT sampling with the two example cases demonstrated in our manuscript\, so that audience can expect to reproduce our major results with no trouble. Hopefully\, DIRECT sampling will serve as a straightforward\, efficient\, useful plug-in for the robust training of MLIPs across any compositional complexity.
URL:https://micde.umich.edu/event/workshop-seminarsciml-webinar-ji-qi-2/
CATEGORIES:Micde,Scientific Computing,Sciml,SciML Webinar Series,Webinar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231012T110000
DTEND;TZID=America/Detroit:20231012T130000
DTSTAMP:20260603T185924
CREATED:20230915T150330Z
LAST-MODIFIED:20231018T173554Z
UID:10000644-1697108400-1697115600@micde.umich.edu
SUMMARY:SciML Webinar Justin Beroz: A closed-form mathematical framework for modeling turbulent fluids
DESCRIPTION:Speaker: Justin Beroz (ReynKo Inc.) \n\nSession Chair: Varun Shankar (Physics Inverted Mataerials) \nAbstract: Despite significant advances over the past two centuries\, a complete general mathematical framework for turbulent fluid motion has yet to be put forth\, and remains the longest standing unsolved problem in classical physics. I will present such a framework\, which is based on constructing a spectral decomposition for the fluid’s kinetic energy from first principles. The approach departs from the usual Reynolds decomposition and yields a set of closed and solvable ordinary differential equations in matrix form. Within this prescription\, the linear terms in the Navier-Stokes equations correspond to a symmetric matrix operator\, and the nonlinear convective term enters as an anti-symmetric operator that provides coupling between eigenstates of turbulent fluctuation. Specifically\, I will present a derivation for the turbulent energy spectrum\, including the Kolmogorov energy cascade; elucidate instability mechanisms for the transition to turbulence;  and detail the analytical solution for turbulence in a box. Careful attention will be given to the physical picture and scaling\, in addition to the rigorous mathematical program. The talk will conclude with a forward look into current efforts implementing the model into a numerical simulation within my company\, ReynKo Inc.
URL:https://micde.umich.edu/event/workshop-seminarsciml-webinar-justin-beroz/
CATEGORIES:Micde,Scientific Computing,Sciml,SciML Webinar Series,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231011T110000
DTEND;TZID=America/Detroit:20231011T120000
DTSTAMP:20260603T185924
CREATED:20230927T154544Z
LAST-MODIFIED:20231211T234457Z
UID:10000655-1697022000-1697025600@micde.umich.edu
SUMMARY:MICDE / LANL T Division - James Patrick Colgan\, Deputy Division Leader Los Alamos  National Laboratory Theoretical Division
DESCRIPTION:Join us to learn more about the Theoretical Division of Los Alamos National Laboratory.  Are you familiar with the Oppenheimer movie?\nYou can also hear about the exciting opportunities available for graduate students and post docs at LANL. \nSpeaker: James Patrick Colgan\, Deputy Division Leader Los Alamos National Laboratory \n  \nBio: James Colgan is the Deputy Division Leader of Theoretical Division at Los\nAlamos National Laboratory. James received his BSc and PhD degrees in Theoretical\nPhysics from Queen’s University\, Belfast\, Northern Ireland. After a post-doctoral\nposition at Auburn University\, he joined LANL in 2003 as a post-doctoral researcher\nand was converted to a staff scientist position in 2005 in Theoretical Division. James\nbecame Group Leader of the Physics and Chemistry of Materials (T-1) in 2017 and\nbecame Deputy Division Leader in 2022. James has published extensively in atomic\nand plasma physics and was elected a Fellow of the American Physical Society (APS)\nin 2012 and a Fellow of the U.K. Institute of Physics (IOP) in 2021 \nAn overview of Los Alamos National Laboratory and the Theoretical Division\nAbstract: An overview of the activities of Los Alamos National Laboratory (LANL)\nare presented. LANL was founded in 1943 under the leadership of J. Robert\nOppenheimer to direct the “Manhattan Project” – a top-secret project to create the\natomic bomb. Now 80 years later\, in 2023\, LANL is tasked by the nation through the\nDepartment of Energy and National Nuclear Security Administration to deliver\nnational security solutions to address the issues faced by the nation and world.\nLANL achieves its mission by applying multidisciplinary science\, technology and\nengineering capabilities using unique experimental\, computational\, and nuclear\nfacilities.\nThis overview will provide a brief survey of LANL’s activities and then will focus on\nthe research & development portfolio of LANL’s Theoretical (T) Division (part of the\nDirectorate for Simulation & Computation). T Division\, which has existed since the\ninception of LANL\, aims to provide excellence in basic and applied theoretical\nresearch across many disciplines\, notably computational materials science and the\ndevelopment of cutting-edge computational tools to support the national security\nmission of the Laboratory.
URL:https://micde.umich.edu/event/workshop-seminaran-overview-of-los-alamos-national-laboratory-and-the-theoretical-division/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms (LEC 3213)
CATEGORIES:Micde,Micde Seminar,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230929T120000
DTEND;TZID=America/Detroit:20230929T130000
DTSTAMP:20260603T185924
CREATED:20230817T202936Z
LAST-MODIFIED:20230912T223037Z
UID:10000610-1695988800-1695992400@micde.umich.edu
SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/presentationgraduate-studies-in-computational-data-sciences-information-session-2-2/
LOCATION:1100 North University Building – 1528
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
ATTACH;FMTTYPE=image/gif:https://micde.umich.edu/wp-content/uploads/2023/08/Info-session.gif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230927T160000
DTEND;TZID=America/Detroit:20230927T170000
DTSTAMP:20260603T185924
CREATED:20230817T202936Z
LAST-MODIFIED:20230912T222916Z
UID:10000612-1695830400-1695834000@micde.umich.edu
SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/presentationgraduate-studies-in-computational-data-sciences-information-session/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms\, 3rd floor
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
ATTACH;FMTTYPE=image/gif:https://micde.umich.edu/wp-content/uploads/2023/08/Info-session.gif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230920T150000
DTEND;TZID=America/Detroit:20230920T170000
DTSTAMP:20260603T185924
CREATED:20230822T205955Z
LAST-MODIFIED:20230912T214901Z
UID:10000623-1695222000-1695229200@micde.umich.edu
SUMMARY:MICDE Fellow Welcome Event
DESCRIPTION:MICDE is organizing a welcome event for its new fellows. During this event we will share with you the guidelines and process for utilizing your fellowship award funds\, as well as the resources and benefits you now have access to as a part of the MICDE community of fellows. Additionally\, you will receive a professionally-taken headshot free of charge (please dress accordingly). You will also have some time to introduce yourselves and get to know one another. Sandwiches\, cookies\, and beverages will be provided.
URL:https://micde.umich.edu/event/othermicde-fellow-welcome-event/
LOCATION:Rackham Graduate School (Horace H.) – Earl Lewis
CATEGORIES:Micde
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END:VCALENDAR