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DTSTART;TZID=America/Detroit:20221116T113000
DTEND;TZID=America/Detroit:20221116T123000
DTSTAMP:20260604T090955
CREATED:20221103T183207Z
LAST-MODIFIED:20221103T183207Z
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SUMMARY:Listening Session with ARC Director Brock Palen
DESCRIPTION:You’re invited to hear from Brock Palen about the next generation of Advanced Research Computing (ARC) services\, and to provide feedback about whether these services will meet your needs. You are also welcome to share what is currently working for you\, and what is not. \nThis is an open\, drop-in office hour\, and all are welcome. \nARC is a division of Information and Technology Services (ITS). \nZoom Meeting information:\numich.zoom.us/j/92727272942\nID: 92727272942 \nJoin by phone\n(US) +1 689-278-1000\n(CA) +1 647-558-0588 \nJoin using SIP\n92727272942@zoomcrc.com \nJoining instructions (https://applications.zoom.us/addon/invitation/detail?meetingUuid=%2BgiWYqLESKelrRuvs9nnuQ%3D%3D&signature=822a64bd6369afc2059ec8e31c7a1d60eedb961e124c27a6b8d83cbb2481082b&v=1) \nJoining notes\nMeeting host: brockp@umich.edu \nJoin Zoom Meeting:\nhttps://umich.zoom.us/j/92727272942
URL:https://micde.umich.edu/event/listening-session-with-arc-director-brock-palen-2-2/
LOCATION:MI
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221114T100000
DTEND;TZID=America/Detroit:20221114T110000
DTSTAMP:20260604T090955
CREATED:20221103T183102Z
LAST-MODIFIED:20221103T183102Z
UID:10000586-1668420000-1668423600@micde.umich.edu
SUMMARY:Listening Session with ARC Director Brock Palen
DESCRIPTION:You’re invited to hear from Brock Palen about the next generation of Advanced Research Computing (ARC) services\, and to provide feedback about whether these services will meet your needs. You are also welcome to share what is currently working for you\, and what is not. \nThis is an open\, drop-in office hour\, and all are welcome. \nARC is a division of Information and Technology Services (ITS). \nJoin Zoom Meeting\numich.zoom.us/j/91451008889\nID: 91451008889 \nJoin by phone\n(US) +1 301-715-8592\n(CA) +1 778-907-2071 \nJoin using SIP\n91451008889@zoomcrc.com \nJoining instructions (https://applications.zoom.us/addon/invitation/detail?meetingUuid=Yd6MckrLR6qPUTm5WOCbcw%3D%3D&signature=7753aec0479b2fdc59b96e0344852951ebc6c62f409bc58a389b471fc36e3b5c&v=1) \nJoining notes\nMeeting host: brockp@umich.edu \nJoin Zoom Meeting:\nhttps://umich.zoom.us/j/91451008889
URL:https://micde.umich.edu/event/listening-session-with-arc-director-brock-palen-2/
LOCATION:MI
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221111T150000
DTEND;TZID=America/Detroit:20221111T160000
DTSTAMP:20260604T090955
CREATED:20220901T211133Z
LAST-MODIFIED:20230713T163450Z
UID:10000580-1668178800-1668182400@micde.umich.edu
SUMMARY:MICDE / AIM Seminar: Jennifer Franck\, Assistant Professor of Engineering Physics\, University of Wisconsin-Madison
DESCRIPTION:WATCH THE RECORDING HERE. \nJennifer Franck is an Assistant Professor in the Department of Engineering Physics at the University of Wisconsin-Madison. She leads the Computational Flow Physics and Modeling Lab\, using computational fluid dynamics (CFD) techniques to explore the flow physics of unsteady and turbulent flows. Ongoing research projects are in the areas of bio-inspired flows and the fluid dynamics of renewable energy systems with current projects funded by NSF and ARPA-E. Prior to joining the UW-Madison faculty in 2018\, she was faculty at Brown University. She received her undergraduate degree in Aerospace Engineering from University of Virginia\, followed by a M.S. and Ph.D. from California Institute of Technology. Following her PhD\, she was awarded an NSF Postdoctoral Fellowship hosted at Brown University to computationally explore fluid dynamics mechanics of flapping flight. \nPREDICTIVE MODELING OF OSCILLATING FOIL WAKE DYNAMICS \nSwimming and flying animals rely on the fluid around them to provide lift or thrust forces\, leaving behind a distinct vortex wake in the fluid. The structure and size of the vortex wake is a blueprint of the animal’s kinematic trajectory\, holding information about the forces and also the size\, speed and direction of motion. This talk will introduce a bio-inspired oscillating turbine\, which can be operated to generate energy from moving water through lift generation\, in the same manner as flapping birds or bats. This style of turbines offers distinct benefits compared with traditional rotation-based turbines such as the ability to dynamically shift its kinematics for changing flow conditions\, thus altering its wake pattern. Current efforts lie in predicting the vortex formation and dynamics of the highly structured wake such that it can be utilized towards cooperative motion within arrays of oscillating foils. Using numerical simulations\, this talk will discuss efforts towards linking the fluid dynamic wake signature to the underlying foil kinematics\, and investigating how that effects the energy harvesting performance of downstream foils. Two machine learning methodologies are introduced to classify\, cluster and identify complex vorticity patterns and modes of energy harvesting\, and inform more detailed modeling of arrays of oscillating foils. \n  \n\nThe MICDE Fall 2022 Seminar Series is open to all. University of Michigan faculty and students interested in computational fluid dynamics are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery and Engineering (MICDE) and the Applied & Interdisciplinary Mathematics program (AIM) at the University of Michigan. Prof. Franck will be hosted by Prof. Silas Alben\, Professor of Mathematics. \nThis is a virtual event broadcasted online via Zoom. \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-seminar-jennifer-franck-assistant-professor-of-engineering-physics-university-of-wisconsin-madison/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/09/Jennifer-Franck.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221110T110000
DTEND;TZID=America/Detroit:20221110T120000
DTSTAMP:20260604T090955
CREATED:20221103T182703Z
LAST-MODIFIED:20230217T195909Z
UID:10000585-1668078000-1668081600@micde.umich.edu
SUMMARY:Listening Session with ARC Director Brock Palen
DESCRIPTION:You’re invited to hear from Brock Palen about the next generation of Advanced Research Computing (ARC) services\, and to provide feedback about whether these services will meet your needs. You are also welcome to share what is currently working for you\, and what is not. \nThis is an open\, drop-in office hour\, and all are welcome. \nZoom Meeting information:\numich.zoom.us/j/98482954458\nID: 98482954458 \nJoin by phone\n(US) +1 669-900-6833\n(CA) +1 204-272-7920 \nJoin using SIP\n98482954458@zoomcrc.com \nJoining instructions (https://applications.zoom.us/addon/invitation/detail?meetingUuid=MqlvGqsVQ3%2BkySq0nx5V4Q%3D%3D&signature=e9120476a1a4ea80108e79f201b6001cc2b1587b9c28aab6f6c01e5aacdd7343&v=1) \nJoining notes\nMeeting host: brockp@umich.edu \nJoin Zoom Meeting:\nhttps://umich.zoom.us/j/98482954458 \nARC is a division of Information and Technology Services (ITS).
URL:https://micde.umich.edu/event/listening-session-with-arc-director-brock-palen/
LOCATION:MI
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221103T160000
DTEND;TZID=America/Detroit:20221103T170000
DTSTAMP:20260604T090955
CREATED:20211021T140003Z
LAST-MODIFIED:20230809T192106Z
UID:10000537-1667491200-1667494800@micde.umich.edu
SUMMARY:PhD Seminar: Srihari Sundar and Vishwas Goel
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speakers:\nSrihari Sundar\, PhD Candidate\, Aerospace Engineering and Scientific Computing\nHari’s research interests include decarbonization of the power sector\, climate impacts\, computational modeling\, and sustainable transformation. His current research in the center for sustainable systems is focused on predicting changes in the energy system — meteorology interaction with a transition to widespread renewable energy generation. He aspires to use this to inform long term planning of reliable power systems under a changing climate while ensuring a just transition. \nLinkedIn   Twitter \nMeteorological Drivers of Resource Adequacy Failures During the Transition to a Decarbonized Power System\nIncreasing meteorological extremes and renewable penetrations could challenge resource adequacy (RA) in the electric power system\, as demonstrated by recent blackouts in California and Texas. We quantify meteorological drivers of RA in the Western U.S. power system\, and examine how these drivers change with increasing renewable penetrations. Our analysis integrates an optimization-based capacity expansion model\, stochastic RA model\, and neural-network-based self-organizing maps. We find that RA failures are driven by high pressure circulation patterns which produce positive surface temperature anomalies and negative solar radiation and wind speed anomalies. Further\, with increasing renewable penetration we find that the probability of failure attributed to patterns associated with heat waves over the region increases. \n\nVishwas Goel\, PhD Candidate\, Materials Science and Engineering and Scientific Computing\nVishwas is a Ph.D. candidate in the Department of Materials Science and Engineering. His research is primarily focused on simulating electrochemical phenomena on multiple scales. \nLinkedIn \nSimulating microgalvanic corrosion in Mg alloys using PRISMS-PF\nMagnesium and its alloys are the lightest structural metallic materials known\, and therefore\, hold vast potential for reducing the weight for various transportation modes such as airplanes\, cars\, buses\, etc. Although the alloying of Mg with elements such as Al\, Mn\, and rare earth (RE) elements is known to improve the mechanical properties of Mg\, the process is often detrimental to the corrosion performance of Mg. This increase in the corrosion rate occurs because of the micro-galvanic couple that forms between the Mg-rich phase\, which acts as an anode\, and the alloying-element-rich phase\, which acts as a cathode. \nUsing both experiments and modeling\, it has been reported that the rate of micro-galvanic corrosion in the Mg-alloys depends on the alloying element and microstructure. However\, a deeper understanding is required for quantifying the effect of microstructure characteristics such as the fraction of the two phases\, spacing between the two phases\, the geometry of the two phases\, etc.\, on the corrosion rate. This understanding is crucial for designing Mg-alloys with optimal mechanical properties and high corrosion resistance. \nTo bridge this gap in our understanding\, we perform the continuum-scale phase-field modeling of different microstructures observed in Mg-alloys. Furthermore\, we complement the modeling work with theoretical analysis\, where we develop analytical relations for studying the effect of various material and microstructural parameters on the characteristic corrosion length scale. The results from both these efforts will be summarized in our presentation. \n\n  \nThis event is part of MICDE’s Fall 2022 seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-srihari-sundar-and-vishwas-goel/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221102T133000
DTEND;TZID=America/Detroit:20221102T143000
DTSTAMP:20260604T090955
CREATED:20210907T174508Z
LAST-MODIFIED:20230217T195904Z
UID:10000529-1667395800-1667399400@micde.umich.edu
SUMMARY:MICDE & MIDAS Graduate Programs Info Session Central Campus
DESCRIPTION:Join the MICDE and MIDAS teams for a 1-hour information session to learn more about our computational and data science graduate program offerings\, including: the Ph.D. in Scientific Computing\, the Graduate Certificate in Computational Discovery & Engineering\, the Graduate Certificate in Computational Neuroscience\, and the Graduate Certificate in Data Science. \nAfter a short presentation\, each program’s faculty director and/or staff manager will be present to answer questions. \n 
URL:https://micde.umich.edu/event/micde-midas-graduate-programs-info-session-virtual-2/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,Featured Events,Info Session
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221031T153000
DTEND;TZID=America/Detroit:20221031T163000
DTSTAMP:20260604T090955
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
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SUMMARY:MICDE Seminar: Reese Jones\, Distinguished Member of the Technical Staff\, Sandia National Laboratories
DESCRIPTION:Reese Jones is currently a staff scientist at Sandia National Laboratories in Livermore\, CA. He is engaged in materials science and computational physics research with scales ranging from atomic/molecular to the continuum. He has made contributions to multiscale methods\, electrochemical and thermal transport\, atomic-level fracture\, and contact. Recently he has been developing and applying machine learning methods to provide constitutive models for\ncomplex materials\, quantify material uncertainty\, and interpret materials imaging for reliability analysis. \nPREDICTING FAILURE IN POROUS METALS USING CONVOLUTIONAL NEURAL NETWORKS \nPredicting whether defects are critical or not is a high-value task in medicine\, materials engineering\, and other fields. Tools that augment expert opinion are needed in the current era of high resolution imaging that can reveal an overwhelming number of defects. In particular\, porosity is a persistent feature of additively manufactured materials and determines failure locations through complex mechanics that exhibit sensitivity to the initial pore locations. In the case of materials engineering expensive direct numerical simulations are available and can be used to train efficient surrogates. Neural networks\, such as the one we have developed\, enable more complete analysis of potential outcomes. \nIn this work\, we develop convolutional neural networks as surrogate models for predicting failure\nlocations. The binary classification problem of categorizing intact/failed voxels is first regularized by recasting it as a regression problem for the continuous damage field subjected to pre-processing transformations. An apparent challenge is the damage fields display a relatively small number of voxels close to failure leading to a form of class imbalance for regression that can cause the optimizer to converge to a poor local minimum. We address this through a re-weighting of the loss function which accounts for the relative frequencies of damage values. Another challenging aspect is the high sensitivity of the outcomes to the porosity field which typically creates multiple regions of high damage competing for failure. This motivates the use of Bayesian neural networks to capture sensitivities in the prediction through uncertainty quantification. We use these uncertainties to rank the likelihood of failure of any particular cluster of porosity in a reliability analysis. Lastly\, to aid transferability of the network and reduce the training burden when it is applied to new materials and processes\, we are exploring transfer learning techniques. \n  \n\n  \nThe MICDE Fall 2022 Seminar Series is open to all. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Dr. Jones will be hosted by Prof. Krishna Garikipati\, Professor of Mechanical Engineering and Mathematics and Director of MICDE. \nThis is an in-person event\, Zoom link will only be provided upon request. This seminar will not be recorded. \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-seminar-reese-jones-scientist-sandia-national-laboratories/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,Featured Events,Seminar
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GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221031T153000
DTEND;TZID=America/Detroit:20221031T163000
DTSTAMP:20260604T090955
CREATED:20230714T153416Z
LAST-MODIFIED:20230714T153416Z
UID:10000603-1667230200-1667233800@micde.umich.edu
SUMMARY:MICDE Seminar: Reese Jones\, Distinguished Member of the Technical Staff\, Sandia National Laboratories
DESCRIPTION:Reese Jones is currently a staff scientist at Sandia National Laboratories in Livermore\, CA. He is engaged in materials science and computational physics research with scales ranging from atomic/molecular to the continuum. He has made contributions to multi-scale methods\, electrochemical and thermal transport\, atomic-level fracture\, and contact. Recently he has been developing and applying machine learning methods to provide constitutive models for\ncomplex materials\, quantify material uncertainty\, and interpret materials imaging for reliability analysis. \nPREDICTING FAILURE IN POROUS METALS USING CONVOLUTIONAL NEURAL NETWORKS \nPredicting whether defects are critical or not is a high-value task in medicine\, materials engineering\, and other fields. Tools that augment expert opinion are needed in the current era of high resolution imaging that can reveal an overwhelming number of defects. In particular\, porosity is a persistent feature of additively manufactured materials and determines failure locations through complex mechanics that exhibit sensitivity to the initial pore locations. In the case of materials engineering expensive direct numerical simulations are available and can be used to train efficient surrogates. Neural networks\, such as the one we have developed\, enable more complete analysis of potential outcomes. \nIn this work\, we develop convolutional neural networks as surrogate models for predicting failure\nlocations. The binary classification problem of categorizing intact/failed voxels is first regularized by recasting it as a regression problem for the continuous damage field subjected to pre-processing transformations. An apparent challenge is the damage fields display a relatively small number of voxels close to failure leading to a form of class imbalance for regression that can cause the optimizer to converge to a poor local minimum. We address this through a re-weighting of the loss function which accounts for the relative frequencies of damage values. Another challenging aspect is the high sensitivity of the outcomes to the porosity field which typically creates multiple regions of high damage competing for failure. This motivates the use of Bayesian neural networks to capture sensitivities in the prediction through uncertainty quantification. We use these uncertainties to rank the likelihood of failure of any particular cluster of porosity in a reliability analysis. Lastly\, to aid transferability of the network and reduce the training burden when it is applied to new materials and processes\, we are exploring transfer learning techniques. \n  \n\n  \nThe MICDE Fall 2022 Seminar Series is open to all. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Dr. Jones will be hosted by Prof. Krishna Garikipati\, Professor of Mechanical Engineering and Mathematics and Director of MICDE. \nThis is an in-person event\, Zoom link will only be provided upon request. This seminar will not be recorded. \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-seminar-reese-jones-distinguished-member-of-the-technical-staff-sandia-national-laboratories/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
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GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221027T153000
DTEND;TZID=America/Detroit:20221027T163000
DTSTAMP:20260604T090955
CREATED:20220825T193358Z
LAST-MODIFIED:20230713T163634Z
UID:10000578-1666884600-1666888200@micde.umich.edu
SUMMARY:MICDE Seminar: John Tramm\, Assistant Computational Scientist\, Argonne National Laboratory
DESCRIPTION:Dr. John Tramm is an assistant scientist in the computational science division at Argonne National Laboratory. He received his PhD in computational nuclear engineering from MIT in 2018. John’s research efforts are focused on improving neutron transport methods that drive massively parallel simulations of nuclear reactors using some of the world’s largest supercomputers. John also has deep experience developing and optimizing simulation applications for GPU-based systems. \n  \nTHE RISE OF PORTABLE GPU PROGRAMMING: EXPERIENCES DEVELOPING GPU-BASED SCIENTIFIC SIMULATION APPLICATIONS FOR INTEL\, NVIDIA\, AND AMD GPUs \nHistorically\, portability has not been important for GPU programming as NVIDIA has dominated the high performance computing (HPC) GPU market. With only one major GPU vendor available to choose from\, it has always made sense to develop scientific HPC apps using NVIDIA’s proprietary CUDA programming model. However\, in 2022 both AMD and Intel are releasing HPC GPU products with the intention of competing directly with NVIDIA. In fact\, the world’s first exascale supercomputer (Oak Ridge National Laboratory’s Frontier) is powered by AMD GPUs\, with another even larger exascale supercomputer (Aurora) powered by Intel GPUs set to arrive at Argonne National Laboratory shortly. These new computers highlight a trend not just from CPU to GPU in HPC\, but also a trend from proprietary CUDA into a number of different portable performance models for GPU. Thus\, scientific application developers are now confronted with not only the difficultly of porting or developing apps for GPU architectures\, but also with selecting from a wide variety of portable GPU programming models (for instance\, OpenMP offloading\, HIP\, SYCL/DPC++\, OpenCL\, Kokkos\, RAJA\, and OCCA). \nIn this talk\, I will briefly introduce the newest supercomputing systems and will give an overview of the many different portable performance models now available for GPUs. I will show a few snippets of an example kernel implemented in a variety of different models\, and will even compare performance of a scientific mini-app\, XSBench\, across all major programming models and GPU architectures. Subjective “pros and cons” of each programming model will be discussed along with quantitative performance comparisons. Next\, I will use a full scientific GPU application (the OpenMC Monte Carlo particle transport code) as a case study to discuss real-world issues affecting portable scientific GPU applications and how bleeding-edge GPU compiler technology stacks are faring. I will also briefly discuss a few of the algorithmic performance optimizations that we developed for OpenMC to give a feel for what types of changes are required to achieve high performance on GPU. \n  \n\n  \nThe MICDE Fall 2022 Seminar Series is open to all. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Dr. Tramm will be hosted by Prof. Brendan Kochunas\, Assistant Professor of Nuclear Engineering and Radiological Sciences. \nThis is an in-person event\, Zoom link will only be provided upon request. This seminar will not be recorded! \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-seminar-john-tramm-assistant-computational-scientist-argonne-national-laboratory/
LOCATION:1010 H. H. Dow\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/08/John-Tramm.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221026T133000
DTEND;TZID=America/Detroit:20221026T143000
DTSTAMP:20260604T090955
CREATED:20210907T174508Z
LAST-MODIFIED:20230217T195905Z
UID:10000530-1666791000-1666794600@micde.umich.edu
SUMMARY:MICDE & MIDAS Graduate Programs Info Session North Campus
DESCRIPTION:Join the MICDE and MIDAS teams for a 1-hour information session to learn more about our computational and data science graduate program offerings\, including: the Ph.D. in Scientific Computing\, the Graduate Certificate in Computational Discovery & Engineering\, the Graduate Certificate in Computational Neuroscience\, and the Graduate Certificate in Data Science. \nAfter a short presentation\, each program’s faculty director and/or staff manager will be present to answer questions. \n 
URL:https://micde.umich.edu/event/micde-midas-graduate-programs-info-session-virtual-2-2/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Education,Featured Events,Info Session
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221007T130000
DTEND;TZID=America/Detroit:20221007T143000
DTSTAMP:20260604T090955
CREATED:20220105T195308Z
LAST-MODIFIED:20220105T195308Z
UID:10000570-1665147600-1665153000@micde.umich.edu
SUMMARY:Introduction to Stata: Data Manipulation
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03\, 1:00 – 2:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/05\, 1:00 – 2:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/07\, 1:00 – 2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/section-2-data-management-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221005T130000
DTEND;TZID=America/Detroit:20221005T143000
DTSTAMP:20260604T090955
CREATED:20220105T195308Z
LAST-MODIFIED:20220105T195308Z
UID:10000569-1664974800-1664980200@micde.umich.edu
SUMMARY:Introduction to Stata: Data Management
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03\, 1:00 – 2:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/05\, 1:00 – 2:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/07\, 1:00 – 2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/section-2-data-management-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221003T130000
DTEND;TZID=America/Detroit:20221003T143000
DTSTAMP:20260604T090955
CREATED:20220105T194745Z
LAST-MODIFIED:20220105T194745Z
UID:10000568-1664802000-1664807400@micde.umich.edu
SUMMARY:Introduction to Stata: The Basics of Stata
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03\, 1:00 – 2:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/05\, 1:00 – 2:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/07\, 1:00 – 2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-the-basics-of-stata-3-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220923T160000
DTEND;TZID=America/Detroit:20220923T170000
DTSTAMP:20260604T090955
CREATED:20220825T193358Z
LAST-MODIFIED:20230810T200736Z
UID:10000577-1663948800-1663952400@micde.umich.edu
SUMMARY:MICDE Seminar: Pania Newell\, Assistant Professor of Mechanical Engineering\, University of Utah
DESCRIPTION:Pania Newell is currently an Assistant Professor in the Department of Mechanical Engineering and holds adjunct faculty positions at the School of Computing and Civil Engineering Department at the University of Utah. Before joining The University of Utah\, she was a member of the technical staff at Sandia National Laboratories. She obtained her M.S. and Ph.D. from the University of New Mexico and the University of Colorado-Boulder\, respectively. Her research interest lies at the interface of mechanics and material sciences. In particular\, she is interested in multi-scale\, multi-physics phenomena in heterogeneous porous materials through developing theoretical\, computational\, and experimental frameworks combined with data sciences. She is the co-founder/co-host of an academic podcast called “This Academic Life”. \nMECHANICS OF HIERARCHICAL POROUS MATERIALS: DESIGN\, CONTROL AND PREDICTION \nHierarchical porous materials with pores at multiple length scales are widespread in nature. Although different compositions\, textures\, and physical properties of natural porous materials have inspired researchers and engineers to design materials with controllable pore structures\, the hierarchical structure of natural porous materials poses challenges in understanding damage and fracture in these complex systems. To be able to create nature-inspired materials\, we must have a mechanistic understanding of materials ranging from the macro- to the nanoscale. In this talk\, I will begin by providing an overview of porous materials and their substantial role in our energy sector. I will then discuss some of our recent efforts in designing nano/micro porous structures with different pore morphology and novel in-situ testing to highlight the effect of different structural and geometrical parameters in porous materials across scales. I will also show how computational tools enable us to enhance our fundamental understanding of fracture propagation mechanisms in such materials over a wide range of scales. At the nanoscale\, molecular dynamics simulation provides information about mechanical properties\, such as fracture energy release rate for various pore morphologies. At the micro-scale\, the impact of the pore shape and size on fracture pattern is investigated through a two-scale homogenization method coupled with the state-of-the-art phase-field fracture technique. The results of this hierarchical coupling approach highlight the importance of higher-order parameters associated with the pore shape and size on fracture properties and patterns at the continuum scale. \n  \n\n  \nThe MICDE Fall 2022 Seminar Series is open to all. University of Michigan faculty and students interested in multi-scale\, multi-physics phenomena in heterogeneous porous materials are encouraged to attend. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Prof. Newell will be hosted by Prof. Krishna Garikipati\, Professor of Mechanical Engineering and Mathematics and Director of MICDE. \nThis is an in-person event\, Zoom link will only be provided upon request. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu \nWATCH THE RECORDING HERE.
URL:https://micde.umich.edu/event/micde-seminar-pania-newell-assistant-professor-of-mechanical-engineering-university-of-utah/
LOCATION:1200 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/08/Pania-Newell.png
GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220915T150000
DTEND;TZID=America/Detroit:20220915T160000
DTSTAMP:20260604T090955
CREATED:20220818T193725Z
LAST-MODIFIED:20230713T164622Z
UID:10000576-1663254000-1663257600@micde.umich.edu
SUMMARY:MICDE / IOE Seminar: Andreas Wächter\, Professor of Industrial Engineering and Management Sciences\, Northwestern University
DESCRIPTION:WATCH THE RECORDING HERE. \nAndreas Wächter is a Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University. His research interests include the design\, analysis\, implementation and application of numerical algorithms for nonlinear continuous and mixed-integer optimization. He obtained his master’s degree in Mathematics at the University of Cologne\, Germany\, in 1997\, and this Ph.D. in Chemical Engineering at Carnegie Mellon University in 2002. Before joining Northwestern University in 2011\, he was a Research Staff Member in the Department of Mathematical Sciences at IBM Research in Yorktown Heights\, NY. He is a recipient of the 2011 Wilkinson Prize for Numerical Software and the 2009 Informs Computing Society Prize for his work on the open-source optimization package Ipopt. \n\n\n\nTHE ARPA-E GRID OPTIMIZATION COMPETITION\nIn recent years\, the US Advanced Research Projects Agency-Energy (ARPA-E) has been organizing the “Grid Optimization Competition.” To participate\, teams from academia and industry submitted computer program implementations of specialized algorithms for solving large realistic Security-Constrained Optimal Power Flow (SCOPF) problems. The performance of the solvers was tested and ranked independently by the organizers\, using large-scale real-life instances. The goal of SCOPF is the determination of the most cost-efficient operation of an electrical power grid in a such way that it can withstand contingencies in the form of outages of any its components. Mathematically\, this is an extremely large-scale two-stage nonlinear and nonconvex optimization problem. In this presentation\, the approach of several teams will be described\, including that of our own GO-SNIP team that placed second in the first challenge. \nFollowing the seminar IOE is holding a small reception in IOE Commons – 1709\, snacks and refreshments will be served. \n\nThe MICDE Fall 2022 Seminar Series is open to all. University of Michigan faculty and students interested in power grid optimization are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Industrial and Operations Engineering. Prof. Wächter will be hosted by Dr. Salar Fattahi\, Assistant Professor of Industrial and Operations Engineering and Dr. Siqian Shen\, Associate Professor of Industrial and Operations Engineering and Associate Professor of Civil and Environmental Engineering. \nThis event is in-person only! \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/micde-ioe-seminar-andreas-wachter-professor-of-industrial-engineering-and-management-sciences-northwestern-university/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/08/Andreas-Wachter.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:20220818T090000
DTEND;TZID=America/Detroit:20220818T110000
DTSTAMP:20260604T090955
CREATED:20220722T155422Z
LAST-MODIFIED:20230217T195843Z
UID:10000575-1660813200-1660820400@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #3
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-3/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220816T090000
DTEND;TZID=America/Detroit:20220816T110000
DTSTAMP:20260604T090955
CREATED:20220722T155000Z
LAST-MODIFIED:20230217T195842Z
UID:10000574-1660640400-1660647600@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #2
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220815T090000
DTEND;TZID=America/Detroit:20220815T110000
DTSTAMP:20260604T090955
CREATED:20220722T153813Z
LAST-MODIFIED:20230217T195842Z
UID:10000573-1660554000-1660561200@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists - Day 1
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-1/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220531T080000
DTEND;TZID=America/Detroit:20221021T170000
DTSTAMP:20260604T090955
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000018-1653984000-1666371600@micde.umich.edu
SUMMARY:2022 MICDE Annual Symposium
DESCRIPTION:Save the Date! \nAfter a 2-year wait\, the 2022 MICDE Annual Symposium will take place on Fri.\, October 21\, 2022. \nThe symposium will feature prominent scientists that are driving \n  \nFeatures speakers will be posted soon. \n  \n 
URL:https://micde.umich.edu/event/2022-micde-annual-symposium/
LOCATION:MI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220527T130000
DTEND;TZID=America/Detroit:20220527T150000
DTSTAMP:20260604T090955
CREATED:20220428T164718Z
LAST-MODIFIED:20230217T195841Z
UID:10000572-1653656400-1653663600@micde.umich.edu
SUMMARY:A Beginner's Guide To Web Scraping With Python
DESCRIPTION:There’s a ton of data on the web! You can collect it by using “web scraping!” But what is web scraping? And how do you do it? \nThis workshop is a beginner’s guide to web scraping and how to get started using Python and the BeautifulSoup library. Attendees will leave with a better understanding of what web scraping is\, and some strategies to implement solutions for it. To participate\, users are expected to be able to run Python on their local computer or through a remote service from campus. A basic understanding of Python and computer programming is strongly encouraged before attending this workshop. A basic understanding of HTML programming is recommended but not mandatory. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/a-beginners-guide-to-web-scraping-with-python/
LOCATION:MI
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220527T100000
DTEND;TZID=America/Detroit:20220527T160000
DTSTAMP:20260604T090955
CREATED:20220426T182037Z
LAST-MODIFIED:20230217T195840Z
UID:10000567-1653645600-1653667200@micde.umich.edu
SUMMARY:2022 SIAM Student Mini-Symposium in Applied Mathematics
DESCRIPTION:The SIAM student chapter at the University of Michigan is hosting its 3rd Annual Student Mini-symposium in Applied Mathematics. This event will allow students from different disciplines in the area to see what is being done in the field and promote interest in applied mathematics in general. \nThis event is open to all graduate students in the University of Michigan.  Students are invited to submit abstracts for short presentations. Deadline to submit an abstract is May 13\, 2022. To register please fill out this form by May 15\, 2022. \nFree food and drinks will be provided to all registered attendees!  \nEvent’s Website | Event Poster \n\nQuestions? Please email Christiana Mavroyiakoumou at chrismav@umich.edu or any of the organizer listed on the event’s website.
URL:https://micde.umich.edu/event/2022-siam-student-mini-symposium-in-applied-mathematics/
LOCATION:1372 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,Featured Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220520T130000
DTEND;TZID=America/Detroit:20220521T173000
DTSTAMP:20260604T090955
CREATED:20220407T201959Z
LAST-MODIFIED:20230217T195823Z
UID:10000566-1653051600-1653154200@micde.umich.edu
SUMMARY:Midwest Numerical Analysis Day 2022
DESCRIPTION:[vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]The Midwest Numerical Analysis Day (MWNADay) is a forum for researchers at all stages of their careers\, mainly from the Midwest\, to exchange ideas in numerical analysis\, scientific computing and related application areas. \nThis year it will take place in person and on line at the University of Michigan\, Ann Arbor on May 20 & May 21.\nParticipants are invited to give a contributed talk or present a poster. Participation of graduate students and postdocs is encouraged. Partial travel support is available. \nFor more information and to register\, please visit the event’s site. \n\nMWNAD 2022 is sponsored by the University of Michigan Department of Mathematics\, the Michigan Center for Applied and Interdisciplinary Mathematics (MCAIM) and the Michigan Institute for Computational Discovery and Engineering (MICDE). \nEmail questions about this year’s event to MWNADadmin@umich.edu.[/vc_column_text][/vc_column][/vc_row]
URL:https://micde.umich.edu/event/midwest-numerical-analysis-day-2022/
LOCATION:East Hall\, 530 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference,Featured Events
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/MidwestNumericalAnalysisDay2022_narrow.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220513T130000
DTEND;TZID=America/Detroit:20220513T150000
DTSTAMP:20260604T090955
CREATED:20220428T163426Z
LAST-MODIFIED:20230217T195841Z
UID:10000571-1652446800-1652454000@micde.umich.edu
SUMMARY:Data Scraping With The Twitter Decahose At The University of Michigan
DESCRIPTION:Social media platforms are a rich source for data. The University of Michigan collects data with the Twitter Decahose\, maintaining an archive of 10% of tweets made from the past decade. This collection is maintained in collaboration by MIDAS\, CSCAR and ARC. \nThis workshop covers what the Twitter Decahose is\, the process to obtain access\, and details on the data format and metadata included\, with live examples to process a sample into a filtered set using Python and PySpark. \nMore information on research datasets from MIDAS can be found at: https://midas.umich.edu/research-datasets/ \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/data-scraping-with-the-twitter-decahose-at-the-university-of-michigan/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220510T150000
DTEND;TZID=America/Detroit:20220510T160000
DTSTAMP:20260604T090955
CREATED:20220408T080005Z
LAST-MODIFIED:20230217T195822Z
UID:10000565-1652194800-1652198400@micde.umich.edu
SUMMARY:SiTime Research Partnership and Career Event
DESCRIPTION:This event will also be broadcasted via Zoom. Please register.\nRefreshments will be served. Please REGISTER by May 6\, 2022\, specially if you are planning to attend in person. You’ll need to use your U-M credentials.\n  \nSiTime\, a market leader in MEMS timing\, will present an overview of its business\, products and some of the tough computational science and FEA related problems it is working to solve in its MEMS resonator (timing reference) design. SiTime has a world leading computational science and FEA based design group and is looking for partnerships with research groups at the University of Michigan\, and great talents (graduate students and post docs hire) to help accelerate its innovation as it revolutionizes the timing industry with groundbreaking solutions. \nResumes of graduate students and post docs are welcome for internship and job opportunities!\n  \n\nSiTime Corporation\, a market leader in MEMS timing\, offers MEMS-based silicon timing system solutions. SiTime’s configurable solutions offer a rich feature set that enables customers to differentiate their products with high performance\, small size\, low power\, and high reliability. With over 1.5 billion devices shipped to date\, SiTime is changing the timing industry. \n\n  \nUniversity of Michigan faculty and students interested in finite element methods\, microelectromechanical systems\, shape optimization\, computational geometry\, continuum mechanics\, non-linear behavior\, multiparametric non-convex constrained optimization or materials science are encouraged to attend. \nThis is a hybrid event and will be held in-person and broadcast online via Zoom. Please register by May 6\, 2022
URL:https://micde.umich.edu/event/sitime-research-partnership-and-career-event/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events
GEO:42.2914823;-83.7138452
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Johnson Rooms Lurie Engineering Center 3rd Floor 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:20220414T103000
DTEND;TZID=America/Detroit:20220414T113000
DTSTAMP:20260604T090955
CREATED:20220322T145723Z
LAST-MODIFIED:20230713T165804Z
UID:10000553-1649932200-1649935800@micde.umich.edu
SUMMARY:MICDE Seminar: Katya Scheinberg\,Professor of Operations Research and Information Engineering\, Cornell University
DESCRIPTION:WATCH THE RECORDING HERE. \nBio: Dr. Katya Scheinberg is a Professor and Director of Graduate Studies at the School of Operations Research and Information Engineering at Cornell University. Prior to joining Cornell she was the Harvey E. Wagner Endowed Chair Professor at the Industrial and Systems Engineering Department at Lehigh University. She attended Moscow University for her undergraduate studies and received her PhD degree from Columbia University. She worked at the IBM T.J. Watson Research Center as a research staff member for over a decade before joining Lehigh in 2010.\nProf. Scheinberg’s main research areas are related to developing practical algorithms (and their theoretical analysis) for various problems in continuous optimization\, such as convex optimization\, derivative free optimization\, machine learning\, quadratic programming\, etc. She is a recipient of the Lagrange Prize from SIAM and MOS\, the Farkas Prize from Informs Optimization Society and the Outstanding Simulation Publication award from Informs Simulation Society.\nProf. Scheinberg is currently the editor-in-chief of Mathematics of Operations Research\, and a co-editor of Mathematical Programming. \n\nOverview of Adaptive Optimization Methods for Stochastic Oracles\nContinuous optimization is a mature field\, which has recently undergone major expansion and change. One of the key new directions is the development of methods that do not require exact information about the objective function. Nevertheless\, the majority of these methods\, from stochastic gradient descent to “zero-th order” methods use some kind of approximate first order information. We will introduce a general definition of a stochastic and show how this definition applies in a variety of familiar settings\, including simple stochastic gradient via sampling\, traditional and randomized finite difference methods and more. We will overview several stochastic methods and how the general definition extends to the oracles used by these methods. \n  \n\nThe MICDE Winter 2022 Seminar Series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery and Engineering (MICDE) and the Department of Industrial and Operations Engineering. Dr. Scheinberg will be hosted by Dr. Albert Berahas\, Assistant Professor of Industrial and Operations Engineering. \nThis is a hybrid event and will be held in-person and broadcasted online via Zoom.  \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-seminar-katya-scheinberg/
LOCATION:1500 EECS
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/03/Katya-Scheinberg.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220413T100000
DTEND;TZID=America/Detroit:20220413T120000
DTSTAMP:20260604T090955
CREATED:20220204T175047Z
LAST-MODIFIED:20230217T195811Z
UID:10000557-1649844000-1649851200@micde.umich.edu
SUMMARY:Software Development For Research: Team-Based Programming Management
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. When small or large teams are involved in coding the same project\, it’s a good idea to adopt team-based practices\, such as “pair programming” or “code review” meetings\, to ensure quality is maintained in the code. This hands-on workshop will provide examples of these topics in action\, and attendees will leave prepared to use these skills in their own work groups. \nThis is part of a series of workshops focused on both technical and soft skills regarding software engineering from a research perspective. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-team-based-programming-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220405T150000
DTEND;TZID=America/Detroit:20220405T160000
DTSTAMP:20260604T090955
CREATED:20220111T193640Z
LAST-MODIFIED:20260522T182816Z
UID:10000552-1649170800-1649174400@micde.umich.edu
SUMMARY:MICDE Seminar: Douglas Spearot\, Professor of Mechanical & Aerospace Engineering\, University of Florida
DESCRIPTION:WATCH THE RECORDING HERE.\nBio: Dr. Douglas Spearot is a Newton C. Ebaugh Professor in the Department of Mechanical & Aerospace Engineering in the Herbert Wertheim College of Engineering at the University of Florida. He also holds an affiliate appointment in the Department of Materials Science & Engineering. From 2005-2015\, he was an Assistant/Associate Professor in the Department of Mechanical Engineering and a member of the Institute for Nanoscience and Engineering at the University of Arkansas. His research focuses on the use of atomistic and mesoscale simulation techniques to study the mechanical and thermodynamic properties of materials\, with particular focus on the behavior of dislocations and interfaces\, and the development of computational tools to extract experimentally relevant metrics from simulation generated data. Dr. Spearot received his B.S. in Mechanical Engineering from the University of Michigan\, and his M.S. and Ph.D. in Mechanical Engineering from the Georgia Institute of Technology. \nAwards: \n\n2010 NSF CAREER Award to elucidate the nanoscale mechanisms associated with phase selection during vapor deposition.\n2007 Ralph E. Power Junior Faculty Enhancement Award to study plasticity in nanostructured materials.\n2020 Teacher of the Year in the Department of Mechanical & Aerospace Engineering\, University of Florida.\n2014 College of Engineering Imhoff Outstanding Teaching Award\, University of Arkansas.\n2014 Arkansas Alumni Association Rising Teaching Award\, University of Arkansas.\n\nMesoscale Modeling of Plasticity in Metallic Materials via Advancement of the Discrete Dislocation Dynamics Simulation Method\nPlastic deformation in metallic materials is governed by the individual and collective behaviors of defects\, such as dislocations and grain boundaries (GBs). Among computational methods for modeling this inherently multi scale problem\, discrete dislocation dynamics (DDD) is a powerful mesoscale technique that explicitly simulates the dynamics and interactions of dislocations and provides a continuum-level understanding of plasticity. Yet\, the utility of DDD simulations for certain problems is compromised by missing defect physics and limited linkages to experiments. The focus of this seminar will be on two advancements to the DDD method. First\, a disclination-dislocation framework for modeling the mechanical structure of equilibrium GBs (EGBs) and nonequilibrium GBs (NEGBs) is incorporated into the DDD method. This approach accounts for the mechanical and kinetic effects of multiple transmission events\, and the absorption of residual dislocations at the GB. DDD simulations reveal that accumulated dislocation content from prior slip transmission lowers the external driving stresses required for subsequent slip transmission\, indicating GB softening. Second\, to enhance the connection between DDD simulations and experiments\, a new “virtual” diffraction method is developed to generate strain-broadened diffraction profiles from DDD microstructures. This method is used to generate a database of diffraction profiles from simulated dislocation microstructures\, which enables a new data-driven approach for dislocation density prediction from diffraction line profile analysis. \n\nThe MICDE Winter 2022 Seminar Series is open to all. University of Michigan faculty and students interested in the mechanical and thermodynamic properties of materials are encouraged to attend. \nDr. Spearot will be hosted by Dr. Yue Fan\, Assistant Professor of Mechanical Engineering. \nThis is a hybrid event and will be held in-person and broadcast online via Zoom.  \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-seminar-douglas-spearot-phd-professor-of-mechanical-aerospace-engineering-university-of-florida/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220401T150000
DTEND;TZID=America/Detroit:20220401T160000
DTSTAMP:20260604T090955
CREATED:20220302T210252Z
LAST-MODIFIED:20230713T170700Z
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SUMMARY:MICDE/AIM Seminar: Miguel Moyers-González\, Associate Professor of Mathematics and Statistics\, University of Canterbury
DESCRIPTION:WATCH THE RECORDING HERE.\nBio: Dr. Miguel Moyers-González completed his B.Sc. at the Instituto Tecnológico Autónomo de México and his M.Sc and Ph.D. in Mathematics at the University of British Columbia. He was a postdoctoral fellow at the Université de Montréal before joining the University of Durham as a Lecturer in Applied Mathematics. He is presently an Associate Professor in the School of Mathematics & Statistics at the University of Canterbury. Dr. Moyers-Gonzalez primary research interests are in the mathematical analysis and computation of complex fluid flows. In broad terms\, the problems he has studied involve the combination of physical understanding\, i.e. of a particular application\, coupled with both theoretical and computational techniques for partial differential equations. \nInferring physical properties and topographical features from free surface flow data\nThe accurate modelling of geophysical flows often requires information that is difficult to measure and therefore poorly quantified. Such information may relate to the fluid properties or an unknown boundary condition\, for example. The premise of this talk is that when the flow is bounded by a free surface\, the deformation of this free surface contains useful information which can be used to infer such unknown quantities. The increasing availability of free surface data through remote sensing using drones and satellites provides the impetus to use mathematical methods and numerical tools to interpret the signature embedded in the free surface deformation.\nIn this talk\, we will explore the problem of recovering simultaneously the ice thickness and basal slip of an ice flow governed by the shallow ice approximation. \n\nThe MICDE Winter 2022 Seminar Series is open to all. University of Michigan faculty and students interested in computational sciences are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery (MICDE) and the Applied & Interdisciplinary Mathematics program at the University of Michigan. Dr. Moyers-González will be hosted by Dr. Mariana Carrasco-Teja\, Assistant Research Scientist and Associate Director of MICDE. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nThis is a virtual event. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-aim-seminar-miguel-moyers-gonzalez-phd-associate-professor-of-mathematics-and-statistics-university-of-canterbury/
LOCATION:Your Desktop
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
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DTSTART;TZID=America/Detroit:20220330T100000
DTEND;TZID=America/Detroit:20220330T120000
DTSTAMP:20260604T090955
CREATED:20220204T174533Z
LAST-MODIFIED:20230217T195811Z
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SUMMARY:Software Development For Research: Git for Collaborative Development
DESCRIPTION:This is a continuation of the previous workshop “Software Development For Research: Version Control Principles”. \nNow\, having learned the basics of version control\, we will see how to use the distributed features of Git to publish your project\, interact with your collaborators\, and incorporate changes from volunteer contributors; for this\, we will utilize GitHub\, the well-known software collaboration platform and code repository. After completing the workshop you will have a good understanding of typical GitHub workflow\, will know how to share your work and collaborate on GitHub. \nTo get the most from this course it is recommended to have a basic understanding of Git concepts (commits\, branches\, merges)\, to the extent covered in the previous workshop. \nThis is part of a series of workshops focused on both technical and soft skills regarding software engineering from a research perspective. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-git-for-collaborative-development/
LOCATION:Your Desktop
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20220324T140000
DTEND;TZID=America/Detroit:20220324T160000
DTSTAMP:20260604T090955
CREATED:20220308T174743Z
LAST-MODIFIED:20220308T174743Z
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SUMMARY:Reading and discussion group: Spatial Analysis in Social Sciences
DESCRIPTION:This reading group moderated by consultants from CSCAR will focus on spatial analysis especially as practiced in social sciences. We will meet for 1.5 to 2 hours every month on the fourth Thursday and discuss one or two chapters from relevant graduate level textbooks. We will focus on the concepts and applications but will also try to discuss the technical details. The format is open-ended\, and the key objective is to support learning at different knowledge and skill levels. If there is interest\, we will also cover software implementation of techniques in R or Python. We will select reading material that is available via U-M library or freely accessible online. \nThe details for the third meeting are below. \nDate – March 24\, 2022 \nTime – 2:00 pm to 4:00 pm \nReadings – We will discuss the following chapters: \n(1) Chapter 4: Diagnosing Spatial Dependence (from Spatial Analysis for the Social Sciences by David Darmofal) \n(3) Chapter 5: Diagnosing Spatial Dependence in the Presence of Covariates (from Spatial Analysis for the Social Sciences by David Darmofal) \nDigital copies of the book are available from the UM Library.
URL:https://micde.umich.edu/event/reading-and-discussion-group-spatial-analysis-in-social-sciences-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
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