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DTSTART;TZID=America/Detroit:20210311T160000
DTEND;TZID=America/Detroit:20210311T170000
DTSTAMP:20260612T015435Z
CREATED:20230905T171300Z
LAST-MODIFIED:20260612T015435Z
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SUMMARY:PhD Seminar: Anna Redgrave and Agnit Mukhopadhyay
DESCRIPTION:ANNA REDGRAVE\, GRADUATE STUDENT\, ECOLOGY AND EVOLUTIONARY BIOLOGY & SCIENTIFIC COMPUTING \nBio: Anna Redgrave began her science career as an undergrad\, master’s student\, and lab technician studying developmental biology in zebrafish. She became fascinated by how complicated developmental systems are\, and joined the Wittkopp lab at U-M for her PhD to investigate one mechanism of complicating developmental systems: gene duplication. \nREGULATORY DIVERGENCE OF DUPLICATED GENES: Gene duplication has long been studied as a mechanism of evolution at the genetic level. Duplicated genes introduce redundant protein-coding sequence\, allowing duplicates to acquire novel functions while preserving existing functions. Gene duplication\, however\, also provides a substrate for non-protein coding\, regulatory sequence evolution. Genes are duplicated with varying levels of their native regulatory sequence intact. This prompts the question: how does the degree to which duplication preserves native regulatory sequence affect future evolutionary paths? Here\, I investigate this question by comparing the expression profiles of duplicate genes across many environments in two diverging species of yeast. \nAGNIT MUKHOPADHYAY\, GRADUATE STUDENT\, CLIMATE AND SPACE SCIENCES AND ENGINEERING & SCIENTIFIC COMPUTING \nBio: Agnit is a NASA Earth & Space Sciences Fellow at the Climate and Space Sciences and Engineering department at the University of Michigan\, with a background in Aerospace Engineering. He is co-advised by Drs. Michael Liemohn and Daniel Welling to quantify the nonlinear coupling between the Earth’s atmosphere and it’s near-plasma environment. He loves working with numerical models to assess and predict the impact of extreme natural events on life and technology. \nQUANTIFYING THE IMPACT OF THE AURORA ON SPACE WEATHER: Conjuring a captivating vista of a colourful nightsky\, the aurora borealis (Northern Lights) and australis (Southern Lights) are a byproduct of upper atmospheric ionization by charged particles (plasma) of solar origin. The near-constant drizzling of auroral plasma particles from outer space are excellent drivers of space weather activity caused by solar disruptions like flares and coronal mass ejections that can adversely affect man-made technology like GPS satellites\, electrical power grids and oil pipelines. Using a combination of physics-based models\, data regression tools\, in-situ satellite and ground-based telemetry\, we figure out what forms and drives the aurora\, how these drivers modify the aurora’s electro-chemical atmospheric modification\, and how this system could be predicted during extreme natural events. \n  \n\nRegister via Zoom to immediately receive login information. Note: You may register and join after the event has started. \nThis event is part of MICDE’s Winter 2021 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
URL:https://micde.umich.edu/event/phd-seminar-anna-redgrave-and-agnit-mukhopadhyay/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210216T150000
DTEND;TZID=America/Detroit:20210216T160000
DTSTAMP:20230905T171258Z
CREATED:20230905T171258Z
LAST-MODIFIED:20230905T171258Z
UID:10000428-1613487600-1613491200@micde.umich.edu
SUMMARY:MICDE Seminar: Emma Lejeune\, Assistant Professor\, Mechanical Engineering\, Boston University
DESCRIPTION:Bio: Emma Lejeune is an Assistant Professor in the Mechanical Engineering Department at Boston University. She received her PhD from Stanford University in September 2018\, and was a Peter O’Donnell\, Jr. postdoctoral research fellow at the Oden Institute at the University of Texas at Austin until 2020 when she joined the faculty at BU. At BU\, Emma has received the David R. Dalton Career Development Professorship\, a Computational Science and Engineering Junior Faculty Fellowship\, and the Haythornthwaite Research Initiation Grant from the ASME Applied Mechanics Division. Current areas of research involve integrating data-driven and physics based computational models\, and characterizing and predicting the mechanical behavior of heterogeneous materials and biological systems. \nMODELING HETEROGENEOUS MATERIALS: BENCHMARK DATASETS\, METAMODELS\, AND EXPERIMENTAL CHARACTERIZATION: \nBiological systems are spatially heterogeneous across scales. To effectively model biological materials we need new tools to quantify and capture this heterogeneity. In this talk\, we will first discuss our recent work on simulating spatially heterogeneous materials. Specifically\, we will discuss our recent work in developing and exploring benchmark datasets of spatially heterogeneous materials simulated with the finite element method. These datasets are useful primarily for constructing metamodels\, or computationally cheap models of models\, that map defined model inputs to defined model outputs. By nature\, a given metamodel will be tailored to a specific dataset. However\, the most pragmatic metamodel type and structure will often be general to larger classes of problems. At present\, the most pragmatic metamodel selection for predicting the mechanical behavior of spatially heterogeneous materials — specifically simulations of heterogenous materials — has not been thoroughly explored. Drawing inspiration from the benchmark datasets available to the computer vision research community\, we introduce a benchmark data set (Mechanical MNIST https://open.bu.edu/handle/2144/39371) for constructing metamodels of heterogeneous material undergoing large deformation. We then show a few examples of problems that we have explored thus far with this dataset. Looking forward\, we anticipate that disseminating benchmark datasets will enable the broader community of researchers to develop improved metamodeling techniques for capturing the behavior of spatially heterogeneous materials that will surpass the baseline performance that we show here. Finally\, to conclude the talk\, we will change gears and briefly discuss some of our recent work on creating new tools for characterizing cell behavior using concepts from kinematics and spatial statistics. Looking forward\, we are interested in the natural synergy between advances in methods for both simulating and characterizing heterogeneous materials. \n\nThe MICDE Winter 2021 Seminar Series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nDr. Lejeune will be hosted by Professor Krishna Garikipati\, MICDE Director. \nWatch the full webinar. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-emma-lejeune-assistant-professor-mechanical-engineering-boston-university/
LOCATION:Zoom Event
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2020/11/Emma-Lejeune.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201009T093000
DTEND;TZID=America/Detroit:20201009T160000
DTSTAMP:20230905T171254Z
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000357-1602235800-1602259200@micde.umich.edu
SUMMARY:Workshop on Resilient Cities through Computation
DESCRIPTION:On October 9\, 2020 the Michigan Institute for Computational Discovery and Engineering will host the Workshop on Resilient Cities through Computation. In addition to talks by experts who are driving new fronts in computing and natural hazards\, it will include hands-on workshop’s goal is to introduce the Simple Run-Time Infrastructure software toolkit (SRTI). \nKeynote Speaker:\n\nTerri McAllister\nCommunity Resilience Group Leader and Program Manager\nNational Institute of Standards and Technology \nMore information at micde.umich.edu/workshop-resilient-cities-2020. \nThis event is organized by MICDE’s Center for Scientific Software Infrastructure and with support from the department of Civil and Environmental Engineering.
URL:https://micde.umich.edu/event/2020-micde-symposium/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Conference,Featured Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200929T080000
DTEND;TZID=America/Detroit:20200929T170000
DTSTAMP:20230905T171252Z
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000010-1601366400-1601398800@micde.umich.edu
SUMMARY:The 2020 MICDE Annual Symposium
DESCRIPTION:On September 29\, 2020 the Michigan Institute for Computational Discovery and Engineering will host its 2020 Annual Symposium. In addition to talks by external experts who are driving new fronts in computing\, the Symposium will showcase some of the game-changing research supported by our Catalyst Grants program\, and the workshop on Resilient Cities through Computation organized by MICDE’s Center for Scientific Software Infrastructure and with support from the department of Civil and Environmental Engineering. \nKeynote Speakers\n\nEwa Deelman\nResearch Professor and Research Director\nInformation Sciences Institute\nUniversity of Southern California \n\nIan Foster \nProfessor\, Computer Science\nUniversity of Chicago\nDirector\, Data Science and Learning Division\nArgonne National Laboratory \nA poster competition will be held\, open to post-docs and graduate students. \nMore information will be posted here as it becomes available. Also see https://live-umor-micde.pantheonsite.io/symposium20/
URL:https://micde.umich.edu/event/2020-micde-annual-symposium/
CATEGORIES:Conference,Featured Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200928T170000
DTEND;TZID=America/Detroit:20200928T210000
DTSTAMP:20230905T171252Z
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000011-1601312400-1601326800@micde.umich.edu
SUMMARY:Student Hackathon: creating a hybrid simulation system using the Simple Run Time Infrastructure Software
DESCRIPTION:The hackathon’s goal is to introduce the Simple Run-Time Infrastructure software toolkit (SRTI) to the participants\, and provide a template project consisting of multiple simulators\, each with a specialized purpose\, relating to a natural-disaster scenario. \nThis is a free event and all students from any school/institution are welcome. You need basic coding skills to participate. \nThe first\, second and third place winners will received monetary prizes of $1000\, $600 and $400. \nThe hacakthon is part of the 2020 MICDE Symposium and is sponsored by MICDE and the Civil and Environmental Engineering department. \nFor more information https://live-umor-micde.pantheonsite.io/symposium20/
URL:https://micde.umich.edu/event/student-hackathon-creating-a-hybrid-simulation-system-using-the-simple-run-time-infrastructure-software/
CATEGORIES:Featured Events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200820T160000
DTEND;TZID=America/Detroit:20200820T170000
DTSTAMP:20230905T171250Z
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000288-1597939200-1597942800@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:4:00 p.m. E.D.T. / 8:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from this event here. A video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august20/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/Graduate-Studies-in-Computational-Data-Sciences-Info-Sessions.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200804T080000
DTEND;TZID=America/Detroit:20200804T090000
DTSTAMP:20230905T171250Z
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000290-1596528000-1596531600@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from the information session here. The video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august4/
LOCATION:Zoom Webinar
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=:
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200730T080000
DTEND;TZID=America/Detroit:20200730T090000
DTSTAMP:20230905T171250Z
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000289-1596096000-1596099600@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from the information session here. A video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-july30/
LOCATION:Zoom Webinar
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=:
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200602T150000
DTEND;TZID=America/Detroit:20200602T160000
DTSTAMP:20230905T171345Z
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
UID:10000375-1591110000-1591113600@micde.umich.edu
SUMMARY:MICDE Webinar Series: Gabriel Ehrlich\, Director\, Research Seminar in Quantitative Economics\, University of Michigan
DESCRIPTION:Bio: Dr. Gabriel Ehrlich is the Director of the Research Seminar in Quantitative Economics (RSQE)\, and an Assistant Research Scientist in the department of Economics at the University of Michigan. Prior to joining RSQE\, he worked in the Financial Analysis Division at the Congressional Budget Office (CBO)\, where he forecast interest rates and conducted analysis on monetary policy and the mortgage finance system. His academic research focuses on several areas of housing and land economics as well as the effects of wage rigidity on labor market outcomes. \nMODELING THE ECONOMIC OUTLOOK IN THE TIME OF COVID-19\nWe will present the Research Seminar in Quantitative Economics’ (RSQE’s) forecast for the national and Michigan economies from 2020 to 2022. We will discuss the incoming data during the COVID-19 pandemic\, the near-term economic damage\, and the prospects for economic recovery. RSQE is the world’s oldest continuously operating economic forecasting unit and is home to the “Michigan Model” of the U.S. economy. \nWatch the full seminar.
URL:https://micde.umich.edu/event/webinar-gabriel-ehrlich-2020/
CATEGORIES:Featured Events,Webinar
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/Ehrlich.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200409T130000
DTEND;TZID=America/Detroit:20200409T143000
DTSTAMP:20260522T183951Z
CREATED:20230905T171344Z
LAST-MODIFIED:20260522T183951Z
UID:10000358-1586437200-1586442600@micde.umich.edu
SUMMARY:Webinar: 2020 MICDE Catalyst Grants Showcase - Session II
DESCRIPTION:This webinar will showcase some of the game-changing research supported by our Catalyst Grants program. \nThis event was recorded and will be on the UM Youtube channel shortly. \nSpeakers\n \nStephen Smith\nAssociate Professor of Ecology and Evolutionary Biology\nUniversity of Michigan\nThe Emergence of Biological Complexity and Evolutionary Innovation in Plant Genomes\n\nXun Huan\nAssistant Professor of Mechanical Engineering\nUniversity of Michigan\nTowards Bayesian Uncertainty Quantification in Deep Learning Models for Brain Tumor Segmentation\nWhile the use of deep learning (DL) models in healthcare has grown rapidly in recent years\, the uncertainty/confidence information in their predictions is often unavailable and unreported. A lack of such information can render decision-making dangerous\, and prompt clinicians to hesitate in using and trusting these machine learning technologies. We propose to adopt principles and computational methods of uncertainty quantification for medical artificial intelligence applications\, focusing on a problem of brain tumor segmentation from MRI scans. As a first step\, we assess the robustness and sensitivity of two such DL models\, U-Net and SqueezeU-Net\, with respect to uncertainty in model weights\, which may arise due to sparsity and noise in training data features as well as labels. We achieve this through Monte Carlo uncertainty propagation of noise injected on trained weight values. The resulting uncertainty of segmentation maps can then be presented and visualized through robustness maps and summarizing box-plots of the Dice coefficients\, which can help indicate the regions where our models do not predict well and most susceptible to training noise. In our on-going work\, we seek to compute the Bayesian posterior distributions for the weights directly from training data. However\, performing a full-scale inference for the millions of weights in U-Net and SqueezeU-Net would be prohibitive. Instead\, we develop a procedure to use sensitivity analysis to identify the most important subset of weights (or layers)\, and perform a targeted Bayesian inference on this lower-dimensional parameter space. \n\nMonica Valluri\nResearch Professor of Astronomy\nUniversity of Michigan\nProbing the nature of dark matter by modeling the Milky Way\nDespite nearly four decades of research in astrophysics and particle physics\, the nature of dark matter\, the substance that comprises 85% of the matter in the universe\, is unknown. The shape of the Milky Way’s dark matter distribution and the variation of this shape with radius are important probes of the nature of dark matter. Mapping the detailed formation history of the Milky Way\, especially the number of satellites that were assimilated by our Galaxy and their masses and their time of infall will provide clues to the dark matter distribution in satellites as well as evidence for nearby streams and dark matter satellites. We are developing a multi-pronged approach to understanding the nature of dark matter with new dynamical tools\, new simulations and analysis of large cosmological simuations. I will describe progress on our efforts to enhance the galactic dynamics package AGAMA (Vasiliev\, 2019)by adding GPU acceleration for the potential and action solvers. I will provide an update on how we are using positions and velocities for old stars in the Milky Way’s halo to determine the three dimensional shape of the dark matter distribution and its variation with radius.I will describe new simulations of the evolution of satellites that merge with our Milky Way that can lead to insights into the fundamental nature of dark matter. Finally I will descibe the use of two cluster finding tools (a self organizing mapping and multi-dimensional density estimation)\, that when applied to action-space properties of stars in the Milky Way’s halo\, can yield insights into the accretion history of our Galaxy. This concert of efforts will significantly advance our goal of understanding the fundamental nature of dark matter using the properties of stars in the Milky Way.
URL:https://micde.umich.edu/event/catalyst-grants-webinar-session-2/
CATEGORIES:Featured Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200409T100000
DTEND;TZID=America/Detroit:20200409T113000
DTSTAMP:20230905T171344Z
CREATED:20230905T171344Z
LAST-MODIFIED:20230905T171344Z
UID:10000356-1586426400-1586431800@micde.umich.edu
SUMMARY:Webinar: 2020 MICDE Catalyst Grants Showcase - Session I
DESCRIPTION:This webinar will showcase some of the game-changing research supported by our Catalyst Grants program. \nThis event was recorded and will be on the UM Youtube channel shortly. \nSpeakers\n \nRobert Krasny\nProfessor of Applied Mathematics and Mathematics\nUniversity of Michigan\nINTEGRAL EQUATION BASED METHODS FOR SCIENTIFIC COMPUTING\nThere are several different approaches to the numerical solution of partial differential equations. For example\, finite-difference methods and finite-element methods discretize either the strong form or the weak form of the equation in real space\, while spectral methods discretize the equation in reciprocal space. This project employs an alternative method which converts the differential equation into an integral equation by convolution with the Green’s function\, followed by discretization and linear solution; the hope is that this approach is more amenable to adaptive refinement and parallelization than other methods. In the past\, integral equation based methods were hindered by the difficulty of discretizing singular integrals and the cost of computing dense matrix-vector products\, but these obstacles are being brought under control. We present our recent work in this area including (1) a GPU-accelerated barycentric treecode for long-range particle interactions\, (2) applications in electrostatics\, electronic structure\, and vortex dynamics. \n\nVikram Gavini\nProfessor of Mechanical Engineering\nUniversity of Michigan\nLong time-scale simulations using exponential time-propagators\nHigh-fidelity long-time scale simulations have been a challenge in a wide range of areas\, including time-dependent electronic structure calculations and molecular dynamics. In particular\, time-dependent density functional theory (TDDFT) calculations are limited to time-scales of the order of hundred femtoseconds\, and MD simulations (even those based on interatomic potentials) are routinely limited to time-scales of the order of nanoseconds. However\, there is very rich material phenomena\, both at the quantum and atomistic scale\, that occurs at time-scales that are orders of magnitude larger than the currently accessible range. In this talk\, I will present the ideas we have been exploring as part of the MICDE catalyst grant to enable long time-scale simulations on a class of time-dependent problems. In particular\, we investigate the use of exponential time-propagators as an alternative to the finite-difference based time-discretization of the PDEs. The ideas will be presented for time-dependent density functional theory and elastodynamics—as a prototypical problem for molecular dynamics—along with numerical results demonstrating the viability and computational efficiency of the proposed ideas. \nThis is joint work with Bikash Kanungo and Paavai Pari. \n\n \nYulin Pan\nAssistant Professor of Naval Architecture and Marine Engineering\nUniversity of Michigan\nReal-Time Phase-resolved ocean wave forecast with data assimilation enabled by gpu-accelerated computation\nThe real-time phase-resolved prediction of ocean waves is crucial for the safety of offshore operations. With the development of the remote sensing technology\, it is now possible to reconstruct the phase-resolved ocean surface from radar measurements in real time. Using the reconstructed ocean surface as initial condition\, nonlinear wave models such as the high-order spectral (HOS) method can be applied to predict the evolution of the ocean waves. However\, the computations reply heavily on large CPU clusters which are usually not available in the offshore onboard environment\, and the prediction can deviate quickly from the true wave evolution due to the chaotic nature of the nonlinear wave equations. To address these problems\, we develop a novel GPU-accelerated computational framework\, which features the coupling of HOS and an ensemble Kalman filter (EnKF) to reduce the uncertainties in the prediction. The new framework algorithm is tested and validated using both synthetic and real wave data\, and is shown promising in fundamentally improving the real-time prediction capability of ocean waves.
URL:https://micde.umich.edu/event/catalyst-grants-webinar-session-1/
CATEGORIES:Featured Events,Webinar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200326T160000
DTEND;TZID=America/Detroit:20200326T170000
DTSTAMP:20260612T021019Z
CREATED:20230905T171342Z
LAST-MODIFIED:20260612T021019Z
UID:10000352-1585238400-1585242000@micde.umich.edu
SUMMARY:POSTPONED - MICDE/EEB Seminar: Yun Song\, Professor\, Computer Science and Statistics\, University of California\, Berkeley
DESCRIPTION:Bio: Yun S. Song is a professor of EECS and Statistics. He received the BS degrees in mathematics and physics from MIT\, and a PhD in physics from Stanford University. After his PhD\, he spent a year at the Mathematical Institute at the University of Oxford\, where he decided to change fields. He became a postdoctoral researcher in the Department of Statistics at Oxford\, and started doing research in computational biology and mathematical population genetics. From 2004 to 2007\, he was a postdoctoral researcher at UC Davis in the Department of Computer Science\, and the Section of Evolution and Ecology. \nThe key parameters that govern translation efficiency\nTranslation of mRNA into protein is a fundamental biological process mediated by the flow of ribosomes on mRNA transcripts.  With multiple factors that can potentially affect its efficiency\, this transport process is highly complex and heterogeneous: different mRNAs can have different initiation rates\, local elongation rates can vary substantially along the mRNA\, and multiple ribosomes can simultaneously translate the same mRNA\, potentially leading to interference.  In this talk\, I will present new theoretical results on a probabilistic model of mRNA translation which allowed us to identify the key parameters that govern the overall rate of protein synthesis\, sensitivity to initiation rate changes\, and efficiency of ribosome usage.  I will then describe our ongoing study\, which combines in vitro translation experiments with mathematical modeling\, to elucidate the role of the 5′ UTR (particularly uAUGs and uORFs) in regulating translation initiation in eukaryotes.
URL:https://micde.umich.edu/event/micde-seminar-yun-song/
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200320T150000
DTEND;TZID=America/Detroit:20200320T160000
DTSTAMP:20260616T174817Z
CREATED:20230905T171343Z
LAST-MODIFIED:20260616T174817Z
UID:10000351-1584716400-1584720000@micde.umich.edu
SUMMARY:POSTPONED - MICDE/AIM Seminar: John Harlim\, Professor\, Mathematics and Meteorology\, Penn State University
DESCRIPTION:Bio: John Harlim is a Professor in the Department of Mathematics and the Department of Meteorology and Atmospheric Sciences. Harlim received his undergraduate degree in Mathematics from the Universitas Padjadaran (Indonesia)\, a master’s from the University of Guelph in Applied Mathematics\, and a PhD in Applied Mathematics and Scientific Computation from the University of Maryland at College Park. His research interests in applied mathematics include parameter estimation\, machine learning\, manifold learning\, operator estimation\, data assimilation. \n Learning Missing Dynamics through Data\nThe recent success of machine learning has drawn tremendous interest in applied mathematics and scientific computations. In this talk\, I would address the classical closure problem that is also known as model error\, missing dynamics\, or reduced-order-modeling in various community. Particularly\, I will discuss a general framework to compensate for the model error. The proposed framework reformulates the model error problem into a supervised learning task to approximate a very high-dimensional target function involving the Mori-Zwanzig representation of projected dynamical systems. Connection to traditional parametric approaches will be clarified as specifying the appropriate hypothesis space for the target function. Theoretical convergence and numerical demonstration on modeling problems arising from PDE’s will be discussed.
URL:https://micde.umich.edu/event/micde-seminar-john-harlim-psu/
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2020/03/John-Harlim.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200313T150000
DTEND;TZID=America/Detroit:20200313T160000
DTSTAMP:20260616T173503Z
CREATED:20230905T171343Z
LAST-MODIFIED:20260616T173503Z
UID:10000009-1584111600-1584115200@micde.umich.edu
SUMMARY:MICDE Seminar: Demetrios Papageorgiou\, Professor\, Applied Mathematics\, Imperial College London
DESCRIPTION:POSTPONED UNTIL FURTHER NOTICE\nBio: Demetrious Papageorgiou is a Professor at Imperial College London.  He is an applied mathematician that works on problems that arise in fluid dynamics. He is interested in systems involving immiscible fluids that are characterized by the presence of spatiotemporally evolving sharp interfaces.  \nElectric field effects in immiscible multilayer flows\nMultilayer flows such as falling films and coating flows\, or pressure-driven flows of immiscible fluids in channels and pipes\, are fundamental in applications. Such flows are typically stable if they are slow enough (highly viscous). Such regimes arise in small-scale geometries (e.g. microfluidics)\, and electric fields can be used to drive the system out of equilibrium to produce patterning\, mixing and phase separation. \nI will begin with some experiments and direct numerical simulations (DNS) that show how electric fields can be utilized in their dual role of inducing instabilities or stability depending on geometry and orientation. I will then review the theoretical models underpinning such phenomena and will use asymptotic theories to derive and study reduced-dimension model equations that describe nonlinear interfacial waves in the presence of fields. Computations predict rich dynamics including spatiotemporal chaos and singularity formation. Some novel inertialess nonlinear interfacial instabilities will also be described – these arise due to flux functions of derived evolution equations changing type from hyperbolic to elliptic. Finally\, I will present results on the use of electric fields and/or blowing suction in achieving feedback and optimal control of falling film flows. Comparisons with DNS will be made and these will be used beyond the range of validity of asymptotic models to predict phenomena such as electrostatic suppression of Rayleigh-Taylor instabilities\, and electrostatically induced pumping in microchannels. \nThis seminar is co-sponsored by the Applied & Interdisciplinary Mathematics program. Prof. Papageorgiou is being hosted by Prof. Krasny (MATH).
URL:https://micde.umich.edu/event/fall2019-papageorgiou-imperialcollege/
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/portrait.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200313T150000
DTEND;TZID=America/Detroit:20200313T160000
DTSTAMP:20230905T171343Z
CREATED:20230905T171343Z
LAST-MODIFIED:20230905T171343Z
UID:10000355-1584111600-1584115200@micde.umich.edu
SUMMARY:CANCELLED - MICDE/AIM Seminar: Lyudmyla Barannyk\, Associate Professor\, Mathematics\, University of Idaho
DESCRIPTION:Bio: Lyudmyla Barannyk is an Associate Professor in the Department of Mathematics at the University of Idaho. Barannyk received a masters in Applied Mathematics from the New Jersey Institute of Technology and a PhD in Mathematics Sciences from the New Jersey Institute of Technology and Rutgers the State University of New Jersery. She is currently a visiting Associate Professor of Mathematics at the University of Michigan. \nModeling of the solid-liquid phase change in materials with internal heat generation\nWe study a simple model for the evolution of the solid-liquid interface during melting and solidification (Stefan problem) of a material with constant internal heat generation and prescribed heat flux at the boundary in the cylindrical geometry. The problem is motivated by the need to control the behavior of nuclear fuel rods in a potential meltdown scenario. The equations are solved by splitting them into transient and steady-state components and then using separation of variables. This results in an ordinary differential equation for the interface that involves infinite series. The initial value problem is solved numerically\, and solutions are compared to the previously published quasi-static solutions. We show that when the internal heat generation and boundary heat flux are close in value\, the motion of the phase change front takes longer to reach steady-state than when the values are farther apart. As the difference between the internal heat generation and boundary heat flux increases\, the transient solutions become more dominant and the phase change front does not reach steady-state before the outer boundary or centerline is reached. Hence the difference between the internal heat generation and boundary heat flux can be used to control the motion and speed of the solid-liquid interface. Limitations of the present model and possible future extensions will be discussed. \n\n\n\nThis is joint work with Sidney Williams (Georgia Tech)\, Irene Ogidan (University of Idaho)\, John Crepeau (University of Idaho)\, and Alexey Sakhnov (Kutateladze Institute of Thermophysics\, Novosibirsk\, Russia).
URL:https://micde.umich.edu/event/micde-aim-seminar-lyudmyla-barannyk/
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2020/03/Lyudmyla-Barannyk.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200228T150000
DTEND;TZID=America/Detroit:20200228T160000
DTSTAMP:20230905T171341Z
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000333-1582902000-1582905600@micde.umich.edu
SUMMARY:MICDE Seminar: Sarah D. Olson\, Associate Professor\, Mathematical Sciences\, Worcester Polytechnic Institute
DESCRIPTION:Bio:Sarah Olson is an Associate Professor in the Department of Mathematical Sciences at Worcester Polytechnic Institute. Olson received her undergraduate degrees in Mathematics and Biology from Providence College\, a master’s from the University of Rhode Island in Mathematics\, and a PhD in Biomathematics from North Carolina State University. She has worked in the general areas of fluid dynamics\, scientific computing\, and mathematical biology. \nSperm Navigation in Complex Environments\nMicroorganisms can swim in a variety of environments\, interacting with chemicals and other proteins in the fluid. In this talk\, we will highlight recent computational methods and results for swimming efficiency and hydrodynamic interactions of swimmers in different fluid environments. Sperm are modeled via a centerline representation where forces are solved for using elastic rod theory. The method of regularized Stokeslets is used to solve the fluid-structure interaction where emergent swimming speeds can be compared to asymptotic analysis. In the case of fluids with extra proteins or cells that may act as friction\, swimming speeds may be enhanced and attraction may not occur. \nThis seminar is co-sponsored by the Applied & Interdisciplinary Mathematics program. Prof. Olson is being hosted by Prof. Alben (MATH). If you would like to meet with her during her visit\, please send an email to micde-events@umich.edu. If you are an MICDE student or a MATH student and you would like to join Professor Olson for lunch during her visit\, please RVSP by Feb. 27. 
URL:https://micde.umich.edu/event/micde-seminar-sarah-d-olson-wpi/
LOCATION:1084 East Hall\, 530 Church 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/2020/01/Sarah-Olson.png
GEO:42.2757302;-83.7351764
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200221T150000
DTEND;TZID=America/Detroit:20200221T160000
DTSTAMP:20230905T171342Z
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000332-1582297200-1582300800@micde.umich.edu
SUMMARY:MICDE Seminar: Osman Basaran\, Professor\, Chemical Engineering\, Purdue University
DESCRIPTION:Bio: Professor Osman Basaran is a Burton and Kathryn Gedge Professor of Chemical Engineering at Purdue University. He received his undergraduate degree at Massachusetts Institute of Technology and a PhD from the University of Minnesota. Prof. Basaran’s research involves the use of a balanced approach based on computation\, theory\, and experiment to attack a number of fundamental issues that lie at the heart of such practical problems. \nHigh-accuracy simulation of free surface flows near finite-time pinch-off and coalescence singularities\nMotivated by applications such as ink jet printing\, drop-by-drop manufacturing\, sprays\, emulsions\, and chemical separations\, we study the dynamics of breakup and coalescence through high-accuracy simulation\, theory\, and experiment.  In this talk\, I will highlight our group’s work on accurately capturing the fluid dynamics that takes place in the vicinity of finite-time singularities. The free surface flow algorithms and solvers that we develop and use rely on a sharp interface representation of phase boundaries.  In the simulations\, we are able to analyze situations that involve disparate length scales that differ by up to seven orders of magnitude (commercial codes can handle about 2-3 orders and custom codes can capture at most 3-4 orders of magnitude disparity in length scales). The primary focus of the talk will be on simulations of the breakup of surfactant-covered filaments where I will pay special attention to the pinch-off singularity.  I will also summarize some of our recent work on the pre- and post-coalescence singularities that arise when two drops or bubbles are driven together and made to merge into one.  \nThis seminar is co-sponsored by the Applied & Interdisciplinary Mathematics program. Prof. Basaran is being hosted by Prof. Deegan (Physics). If you would like to meet with Prof. Basaran during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE student or an AIM student and you’re interested in having lunch with Prof. Basaran during his visit\, please RSVP by Thursday\, February 20\, 2020.
URL:https://micde.umich.edu/event/micde-seminar-osman-basaran-purdue/
LOCATION:1084 East Hall\, 530 Church 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/2020/01/Osman-Basaran.png
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1084 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200131T153000
DTEND;TZID=America/Detroit:20200131T163000
DTSTAMP:20230905T171340Z
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000331-1580484600-1580488200@micde.umich.edu
SUMMARY:MICDE Seminar: Amir Salaree\, Postdoctoral Fellow\, Earth and Environmental Sciences\, University of Michigan
DESCRIPTION:Due to unforeseen circumstances the originally scheduled talk by Professor Brandon Johnson has been cancelled and replaced with the following seminar. \nTheoretical and Computational Contributions to the Modeling of Global Tsunamis\nThe distribution of tsunami amplitudes in the open ocean is controlled by source mechanism as well as bathymetry geometry and resolution\, with the latter controlling far-field tsunami features. However\, large detailed bathymetry grids result in long computer simulation times for tsunamis. It is therefore of interest to investigate the amount of physical detail in bathymetric grids that control the most important features in tsunami amplitudes\, to assess what constitutes sufficient level for grids in numerical simulations. By decomposing the Pacific bathymetry using a spherical harmonics approach one can create “smoothed” versions of the original field. Using these simplified bathymetries to simulate tsunamis from potential ruptures around the Pacific\, we can see that for large megathrust events (M0=1029 dyn-cm)\, only a resolution of ~1000 km (equivalent to l=40)\, or ~1% surface smoothness of the Pacific is needed in order to reproduce the main components of the true distribution of tsunami amplitudes. This would result in simpler simulations\, and faster computations in the context of tsunami warning algorithms. \nIn a separate context\, an overview of tsunami studies and a report on a study of a meteotsunami are presented. These scenarios are evidence for the fact that tsunami studies are interdisciplinary fields of research that require coordinated efforts by investigators from various backgrounds. \nMICDE is co-hosting this seminar with the Earth and Environmental Sciences department. 
URL:https://micde.umich.edu/event/micde-seminar-brandon-johnson-purdue/
LOCATION:RM1528\, 1100 North University Building
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2020/01/Amir-Salaree.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200124T130000
DTEND;TZID=America/Detroit:20200124T140000
DTSTAMP:20230905T171341Z
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000312-1579870800-1579874400@micde.umich.edu
SUMMARY:MICDE Seminar: Andrew Wetzel\, Assistant Professor\, Physics\, University of California\, Davis
DESCRIPTION:Bio: Professor Wetzel is an assistant professor in the physics department and in the astrophysics and cosmology group at the University of California\, Davis. He is a theoretical/computational astrophysicist and cosmologist. Using the world’s most powerful supercomputers\, he generates cosmological simulations to model the formation of cosmic structures\, including galaxies and their stars. He uses these simulations as theoretical laboratories to develop and test models of galaxy formation\, stellar dynamics\, and the nature of dark matter\, with emphasis on our own Milky Way galaxy. \nSimulating the Milky Way\nThe Gaia satellite mission\, together with a multitude of ground-based observational surveys\, now measure 6-D phase-space coordinates and multi-species elemental abundances for hundreds of millions of stars across the Milky Way. This new era of galactic archeology and near-field cosmology demands a new generation of simulations that achieve high dynamic range to resolve scales of individual stellar populations within a cosmological context. I will describe the new Latte suite of massively parallelized cosmological zoom-in simulations\, run on the nation’s most powerful supercomputers\, that model the formation of Milky Way-like galaxies at parsec-scale resolution\, using the FIRE (Feedback in Realistic Environments) model for star formation and feedback. First I will discuss the formation of the Milky Way disk\, including resolving for the first time the dynamics and lifetimes of giant molecular clouds and stars clusters at z = 0. These simulations also self-consistently resolve the formation of satellite dwarf galaxies around each Milky Way-like host. These low-mass galaxies have presented significant challenges to the cold dark matter model\, but I will show progress in addressing the “missing satellites” and “too-big-to-fail” problems. Finally\, I will discuss synthetic Milky Way surveys that we have created from the Latte simulations\, which are publicly available\, to provide theoretical modeling insight for the era of Gaia. \nProf. Wetzel is being hosted by Prof. Gnedin (Astronomy).  If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE graduate student and would like to join Prof. Wetzel for lunch please RSVP by Thursday\, January 23. 
URL:https://micde.umich.edu/event/micde-seminar-andrew-wetzel-uc-davis/
LOCATION:411 West Hall (1085 S. University)\, 1085 S. University 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/2019/12/Andrew-Wetzel.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200115T150000
DTEND;TZID=America/Detroit:20200115T180000
DTSTAMP:20230905T171339Z
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000301-1579100400-1579111200@micde.umich.edu
SUMMARY:SC2 Workshop Series: VisIt- Open Source\, Interactive\, Scalable\, Visualization\, Animation and Analysis Tool
DESCRIPTION:Learn to interactively visualize and analyze data ranging in scale from small (<101 cores) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Dr. Allen Sanderson\, an expert from the Scientific Computing and Imaging Institute (Utah)\, will teach this workshop. If you’re unfamiliar with VisIt\, check out how it can help you visualize your data here. \nInstructor: Dr. Allen Sanderson\, Research Scientist\, Scientific Computing and Imaging Institute\,  University of Utah \nSpace is limited. Learn more and register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-visit-open-source-interactive-scalable-visualization-animation-and-analysis-tool/
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200115T120000
DTEND;TZID=America/Detroit:20200115T130000
DTSTAMP:20230905T171340Z
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000311-1579089600-1579093200@micde.umich.edu
SUMMARY:MICDE Seminar: Allen Sanderson\, Research Scientist\, Scientific Computing and Imaging Institute\, The University of Utah
DESCRIPTION:Bio: Allen Sanderson\, Ph.D. is a Research Scientist at the University of Utah’s Scientific Computing and Imaging Institute. His interest lies in visualization and analysis of large data coming from application areas ranging from plasma physics to combustion. Recently he has focused on new ways to utilize in situ data analysis and visualization which often has him working directly on the science application infrastructure. \nTeasing out Ephemeral Data from HPC Applications for In Situ Visualization and Analysis\nIt is well known that as HPC applications have grown\, I/O has become a bottleneck\, which has required scientists to turn to in situ tools for data exploration. The focus of this exploration has typically been on simulation data. However\, applications also produce ephemeral data that is optionally written to disk for post hoc analysis\, but not otherwise saved or utilized by the application in subsequent time steps. One example of ephemeral data is runtime performance data. In this talk I will present the infrastructure implemented for efficiently collecting this and other data within the Uintah framework which was coupled to VisIt’s in situ toolkit for analysis and visualization. This collection and coupling allows performance data to be visualized using multiple domains giving insight previously not possible. As part this coupling\, we take advantage of VisIt’s in situ custom user interface to create a “simulation dashboard” that allows for in situ computational steering and visual debugging allowing for improvements in the development and simulation workflow. \nDr. Sanderson is being hosted by the Scientific Computing Student Club [SC2].  If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. Limited lunch will be provided. 
URL:https://micde.umich.edu/event/micde-seminar-allen-sanderson/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/12/Allen-Sanderson.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:20191209T150000
DTEND;TZID=America/Detroit:20191209T160000
DTSTAMP:20230905T171338Z
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000250-1575903600-1575907200@micde.umich.edu
SUMMARY:MICDE Seminar: Bo Zhu\, Assistant Professor\, Computer Science\, Dartmouth College
DESCRIPTION:Bio: Bo Zhu is an assistant professor of Computer Science at Dartmouth College. Prior to that\, he was a postdoctoral associate at MIT CSAIL. He received his Ph.D. in Computer Science from Stanford University in 2015. His research interests encompass computer graphics\, computational physics\, and computational fabrication. In particular\, he focuses on building computational approaches to automate the process of exploring complex physical systems. \nSuper-Resolution Structural Simulation and Optimization\nComplex physical systems exhibiting mixed-dimensional geometry and multi-scale mechanics are ubiquitous. Examples include biological structures\, such as insect wing exoskeletons\, fluid phenomena\, such as bubbles and jets\, and human-made objects\, such as microrobots. The beauty and complexity of these systems attract efforts from scientists\, engineers\, and artists in various fields. However\, a computational investigation of these systems on the level of super-resolution  –with millions to billions of computational elements — is still challenging\, due to the non-manifold geometric structures\, non-linear governing physics\, and the tight coupling between them. \nMy work tackles these challenges by rethinking of the computation pipeline—from a perspective that aims to blur the line between discrete geometry and continuous physics. My guiding principle is to study the hidden low-dimensional topological and structural characteristics underpinning these complex systems and to create the most natural geometric analogs in a discrete setting for efficient simulation and optimization. In this talk\, I will present two examples to demonstrate this methodology\, including a super-resolution topology optimization algorithm based on sparse grids to emerge biomimetic structures and a numerical simulation approach based on simplicial complexes to model codimensional fluids. These computational tools enable the investigation\, discovery\, and development of a broad range of complex physical systems that are multi-scale and mixed-dimensional\, with applications in computer graphics\, computational physics\, and additive manufacturing. \n  \nProf. Zhu is being hosted by Prof. Saitou (ME).  If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE graduate student and would like to join Prof. Zhu for lunch please RSVP by Friday\, December 6th .  \n 
URL:https://micde.umich.edu/event/fall2019-zhu-dartmouth/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/07/Bo-Zhu.png
GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1303 EECS 1301 Beal Ave Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1301 Beal Ave:geo:-83.713272,42.292322
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191206T150000
DTEND;TZID=America/Detroit:20191206T160000
DTSTAMP:20230905T171338Z
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000243-1575644400-1575648000@micde.umich.edu
SUMMARY:MICDE Seminar: Anna Vainchtein\, Professor\, Mathematics\, University of Pittsburgh
DESCRIPTION:Bio: Anna Vainchtein is a professor in the Department of Mathematics at the University of Pittsburgh. She is generally interested in mathematical modeling and analysis of nonlinear phenomena in materials science\, physics and biology. Examples include dynamics of phase boundaries\, cracks and dislocations in crystals\, hysteresis in phase-transforming materials\, solitary and heteroclinic traveling waves in nonlinear lattices and DNA overstretching. The resulting mathematical problems typically involve minimization of nonconvex functionals\, nonlinear PDEs that change type\, dynamical systems with many degrees of freedom and functional differential equations. Thus nonstandard analytical and numerical techniques are required. \nStrictly supersonic solitary waves in lattices\nWe consider a nonlinear mass-spring chain with first and second-neighbor interactions and show that there is a parameter range where solitary waves in this system are strictly supersonic. In these regimes standard quasicontinuum theories\, targeting long-wave limits of lattice models\, are not adequate since even weak strictly supersonic solitary waves are of envelope type and crucially involve a microscopic scale in addition to the mesoscopic scale of the envelope. To capture this effect in a continuum setting it is necessary to employ unconventional\, higher-order quasicontinuum approximations carrying more than one length scale. This talk is based on recent joint work with Lev Truskinovsky (ESPCI). \nThis seminar is co-sponsored by the Applied & Interdisciplinary Mathematics program. Prof. Vainchtein is being hosted by Prof. Garikipati (ME). If you would like to meet with her during her visit\, please send an email to micde-events@umich.edu. 
URL:https://micde.umich.edu/event/fall2019-vainchtein-upitt/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/07/Anna-Vainchtein.png
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1084 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191203T140000
DTEND;TZID=America/Detroit:20191203T170000
DTSTAMP:20230905T171338Z
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000300-1575381600-1575392400@micde.umich.edu
SUMMARY:SC2 Workshop Series: Data Processing and Visualizations with R and Python
DESCRIPTION:This workshop will provide some tools\, tips\, and packages that make data processing and visualization in R easier. Some coding experience is required – not necessarily R. \nInstructor: Dr. Michael Clark\, Consultant\, Consulting for Statistics\, Computing and Analytic Research (CSCAR) \nSpace is limited. Learn more and register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-data-processing-and-visualizations-with-r-and-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191120T150000
DTEND;TZID=America/Detroit:20191120T170000
DTSTAMP:20230905T171339Z
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000294-1574262000-1574269200@micde.umich.edu
SUMMARY:SC2 Workshop Series: QGIS - Visualizing Geospatial Data
DESCRIPTION:QGIS is a user friendly Open Source Geographic Information System (GIS). You can visualize\, manage\, edit\, analyze data\, and compose printable maps. The workshop will use R. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. It is the second workshop in the series. Learn more about the workshop series and the Visualization Challenge here. \nInstructor: Dr. Manish Verma\, Consultant\, Consulting for Statistics\, Computing and Analytic Research (CSCAR) \nSpace is limited. Register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-qgis-visualizing-geospatial-data/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191115T150000
DTEND;TZID=America/Detroit:20191115T160000
DTSTAMP:20230905T171339Z
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000249-1573830000-1573833600@micde.umich.edu
SUMMARY:MICDE Seminar: Irene Beyerlein\, Professor\, Mechanical Engineering\, University of California\, Santa Barbara
DESCRIPTION:Bio: Irene J. Beyerlein is a Professor at the University of California at Santa Barbara (UCSB) with a joint appointment in the Mechanical Engineering and Materials Departments. She currently holds the Robert Mehrabian Interdisciplinary Endowed Chair in the College of Engineering. After receiving her Ph.D. degree in Theoretical and Applied Mechanics at Cornell University in 1997\, she began a postdoctoral appointment as a J.R. Oppenheimer Fellow at Los Alamos National Laboratory\, where she remained on the scientific staff in the Theoretical Division\, until 2016\, when she joined UCSB. She has published one book\, nine book chapters\, and more than 300 peer-reviewed articles in the field of structural composites\, materials processing\, multiscale modeling of microstructure/property relationships\, deformation mechanisms\, and polycrystalline plasticity. She is an Editor for Acta Materialia and Scripta Materialia and an Associate Editor for Modelling and Simulation in Materials Science and Engineering.  In recent years\, she has been awarded the Los Alamos National Laboratory Fellow’s Prize for Research (2012)\, the International Plasticity Young Researcher Award (2013)\, the TMS Distinguished Scientist/Engineering Award (2018)\, and the Brimacombe Metal (2019). \nA COMPOSITE OF SUPERIOR PROPERTIES WITH NANOSTRUCTURED COMPOSITE MATERIAL\nMany future engineering systems will rely on high-performance metallic materials that are several times stronger and tougher than those in use today. In many situations\, these superior properties will be desired in harsh environments\, such as elevated temperatures\, at high rates\, and under irradiation. Nanolaminates\, built from stacks of crystalline layers\, each with nanoscale individual thicknesses\, are proving to exhibit a composite of many of these target properties. Examples span from nanotwinned materials to biphase nanolaminates\, comprised of alternating nano-thick layers that differ in orientation\, chemistry and crystal structure. Studies on these materials report exceptional properties far beyond a volume average value of their constituents\, such as strengths that are over five to ten times higher\, hardness values that are several orders of magnitude higher\, and unprecedented microstructural stability in harsh environments\, such as irradiation\, sudden impact\, or elevated temperatures. While the combination of properties is clearly attractive\, one roadblock to applying the nanolaminate concept to any general composite material system is their complex\, highly anisotropic deformation behavior\, making them less reliable than coarsely structured materials. Critical to designing the material nanostructure to achieve uniformity and reliability is understanding and predicting the strength properties of nanostructure materials based on known conditions and measurable variables\, such as basic nanostructure size scales and chemical composition. Multiscale models for conventional coarse-grained materials have been in development for several decades\, but analogous versions for nanostructured materials require extensions to explicitly account for the overriding dominance of internal boundaries on these microstructure/property relationships.  The computational materials challenge lies in how to represent the discrete and statistical dislocation glide processes in nanostructured materials so that the profound influence of the fine nanoscale crystals can be properly replicated in simulation. In this talk\, we will present recent examples of computational techniques and some unanticipated couplings between nanostructural size effects and microstructural evolution and strength that arise from their application. \nProf. Beyerlein is being hosted by Prof. Fan (ME). 
URL:https://micde.umich.edu/event/fall2019-beyerlein-ucsb/
LOCATION:1680 IOE\, 1205 BEAL AVE\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191101T150000
DTEND;TZID=America/Detroit:20191101T160000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000248-1572620400-1572624000@micde.umich.edu
SUMMARY:MICDE Seminar: Sanjay Govindjee\, Professor\, Civil Engineering\, University of California\, Berkeley
DESCRIPTION:Bio: Sanjay Govindjee is the Horace\, Dorothy\, and Katherine Johnson Professor in Engineering.  His main interests are in theoretical and computational mechanics with an emphasis on micro-mechanics of nonlinear phenomena in solid materials.  He was the winner of the inaugural Zienkiewicz Prize and Medal in 1998 and more recently received a 2018 Alexander von Humboldt Foundation Research Prize in honor of his lifetime achievements.  For the last two and half years\, he has been the PI and co-Director of the NSF NHERI SimCenter at Berkeley. \nThe NSF Natural Hazards Engineering Research Infrastructure (NHERI) Computation and Simulation Center (SimCenter) at Berkeley: An Overview\nIn October 2016\, the National Science Foundation awarded the NHERI SimCenter to Berkeley.  The SimCenter is the computational satellite to the eight experimental sites of the NHERI constellation.  Its primary goal is to advance natural hazards engineering through the use of simulation.  The center develops and stands-up open-source software to simulate the effects of seismic\, wind\, and water loads on structures with a focus on regional assessments of damage at high resolution under uncertainty.  The SimCenter’s work includes both research and educational components. \nThe SimCenter has just completed Year 3 or its original mandate and now offers a wide selection of user friendly front end applications that permit local as well as HPC cloud based execution of simulations.  Simulations can be of single detailed structural models subjected to a variety of harzards using state-of-the-art and state-of-the-practice loading methodologies.  They can also be of a larger regional nature using simpler models and further coupled to forward uncertainty propogation with Monte Carlo methods with or without surrogating.  Engineering demands can be further propogated into damage and loss\, downtime and recovery\, using Hazus methodologies\, FEMA P58 methods\, or user provided techniques with our hazard-blind framework.  All elements of the SimCenter’s software are desgined in a plug-n-play fashion to promote detailed research into natural hazard effects with the ability to see impacts on a larger scale. \nIn this presentation\, I will give an overview of the SimCenter’s recent activities and discuss research needs and how researchers can participate in the SimCenter’s activities\, along with a preview of upcoming developments anticipated in Year 4 \nProf. Govindjee is being hosted by Prof. Garikipati (ME).
URL:https://micde.umich.edu/event/fall2019-govindjee-ucberkeley/
LOCATION:1680 IOE\, 1205 BEAL AVE\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191101T080000
DTEND;TZID=America/Detroit:20191101T130000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000281-1572595200-1572613200@micde.umich.edu
SUMMARY:NSF Computational Mechanics Vision Workshop
DESCRIPTION:Boston University\, Duke University\, and the University of Michigan have organized the 2019 Computational Mechanics Workshop to solicit and synthesize directions for computational mechanics research and education in the United States over the next decade and beyond from a diverse cross section of scientists and engineers. Topics to discuss include the following four broad themes: machine learning/big data\, manufacturing\, risk/uncertainty engineering (including climate\, infrastructure\, natural disasters\, etc.)\, and medicine. \nParticipants\nWorkshop is open to all interested faculty. If you’re interested in attending\, please contact us at micde-events@umich.edu to reserve your spot.
URL:https://micde.umich.edu/event/nsf-computational-mechanics-vision-workshop-nov/
LOCATION:Rackham Amphitheatre\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191031T080000
DTEND;TZID=America/Detroit:20191031T170000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000275-1572508800-1572541200@micde.umich.edu
SUMMARY:NSF Computational Mechanics Vision Workshop
DESCRIPTION:Boston University\, Duke University\, and the University of Michigan have organized the 2019 Computational Mechanics Workshop to solicit and synthesize directions for computational mechanics research and education in the United States over the next decade and beyond from a diverse cross section of scientists and engineers. Topics to discuss include the following four broad themes: machine learning/big data\, manufacturing\, risk/uncertainty engineering (including climate\, infrastructure\, natural disasters\, etc.)\, and medicine. \nParticipants\nWorkshop is open to all interested faculty. If you’re interested in attending\, please contact us at micde-events@umich.edu to reserve your spot.
URL:https://micde.umich.edu/event/nsf-computational-mechanics-vision-workshop/
LOCATION:Rackham Amphitheatre\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191024T170000
DTEND;TZID=America/Detroit:20191024T190000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000293-1571936400-1571943600@micde.umich.edu
SUMMARY:SC2 Workshop Series: Intro to Jugular: Virtual Reality and 3D Rendering
DESCRIPTION:Learn how to format\, load and visualize your data in 3D. Jugular works in U-M M.I.D.E.N.\, the Occulus Rift and any desktop window. The U-M 3D Lab will teach this workshop and show us the available tools in-house. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. Learn more about the workshop series and the Visualization Challenge here. \nInstructor: Theodore Hall\, U-M 3D Lab\, The Duderstadt Center \nSpace is limited. Register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-intro-to-jugular-virtual-reality-and-3d-rendering/
LOCATION:U-M 3D Lab\, Digital Media Commons\, Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,SC2,Workshops
GEO:42.291072;-83.715734
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END:VCALENDAR