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DTSTAMP:20260607T000659
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SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-3/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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DTSTART;TZID=America/Detroit:20171110T150000
DTEND;TZID=America/Detroit:20171110T160000
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SUMMARY:MICDE Seminar: Chris Rycroft\, Department of Applied Mathematics\, Harvard University
DESCRIPTION:Bio: Chris Rycroft is an Assistant Professor of Applied Mathematics in the School of Engineering and Applied Sciences at Harvard University. From 2010–2013\, he was a Morrey Assistant Professor in the UC Berkeley Mathematics Department\, and he was involved in the Bay Area Physical Sciences-Oncology where he collaborated with several experimental groups at Berkeley and UC San Francisco\, on using computational modeling to understand the role of mechanical forces between cells and their environment. Prof. Rycroft’s research focuses on mathematical modeling and scientific computation\, particularly for interdisciplinary applications in science and engineering. He works on a variety of problems\, and has collaborated in a number of fields including physics\, biology\, materials science\, and mechanical engineering. His current interests include questions that relate to the mechanics of materials\, numerical algorithms\, and geometry. Several of his recent projects relate to energy production and efficiency\, such as modeling bulk metallic glasses\, and developing high-throughput screening techniques to find advanced materials for carbon capture applications. He has also released several software libraries\, including Voro++ for three-dimensional computations of the Voronoi tessellation. \nThe reference map technique for simulating complex materials and multi-body interactions\nConventional computational methods often create a dilemma for fluid-structure interaction problems. Typically\, solids are simulated using a Lagrangian approach with grid that moves with the material\, whereas fluids are simulated using an Eulerian approach with a fixed spatial grid\, requiring some type of interfacial coupling between the two different perspectives. Here\, a fully Eulerian method for simulating structures immersed in a fluid will be presented. By introducing a reference map variable to model finite-deformation constitutive relations in the structures on the same grid as the fluid\, the interfacial coupling problem is highly simplified. The method is particularly well suited for simulating soft\, highly-deformable materials and many-body contact problems\, and several examples from engineering and biology will be presented. This is joint work with Ken Kamrin (MIT). \nThis is a joint seminar with the Interdisciplinary Applied Mathematics seminar series. \nProf. Rycroft is being hosted by Prof. Alben (Mathematics). If you would like to meet him please email Prof. Alben at alben@umich.edu or Dr. Mariana Carrasco-Teja at mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-chris-rycroft-department-of-applied-mathematics-harvard-university/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171108T140000
DTEND;TZID=America/Detroit:20171108T150000
DTSTAMP:20260607T000659
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SUMMARY:MICDE Seminar: Giulia Galli\, Department of Molecular Engineering\, University of Chicago
DESCRIPTION:Bio: Giulia Galli is the Liew Family Professor of Electronic Structure and Simulations in the Institute for Molecular Engineering at the University of Chicago. She also holds a Senior Scientist position at Argonne National Laboratory (ANL) and she is a Senior Fellow of the UChicago/ANL Computational Institute. Prior to joining U Chicago and ANL\, she was Professor of Chemistry and Physics at UC Davis (2005-2013) and the head of the Quantum Simulations group at the Lawrence Livermore National Laboratory (1998-2005).\nShe holds a Ph.D. in Physics from the International School of Advanced Studies (SISSA) in Trieste\, Italy. She is a Fellow of the American Physical Society (APS) and of the AAAS. She is the recipient of an award of excellence from the Department of Energy (2000) and of the Science and Technology Award from the Lawrence Livermore National Laboratory (2004). She is currently the director of MICCoM (Midwest Integrated Center for Computational Materials)\, established by DOE in 2015. Her research activity is focused on the development and use of theoretical and computational tools to understand and predict the properties and behavior of materials (solids\, liquids and nanostructures) from first principles. \nMaterials discovery and scientific design by computation: what does it take?\nSubstantial progress has been made in the last three decades in understanding and predicting the fundamental properties of materials and molecular systems from first principles\, employing electronic structure methods and atomistic simulations. Using specific examples\, I will discuss some predictions obtained for materials for energy conversion processes (photo-catalysis of water and solar cells) as well as some of the major challenges involved in enabling scientific discoveries by computation; in particular I will touch upon theoretical validation; and collection and verification of data generated by simulations. I will also discuss some of the theoretical and algorithmic advances required to broaden the scope of properties accessible by current ab initio simulations. \nProfessor Galli is being hosted by Prof. Siegel (Mechanical Engineering). If you would like to meet her during her visit please email mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-giulia-galli-department-of-molecular-engineering-university-of-chicago/
CATEGORIES:Featured Events,MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20171103T180000
DTEND;TZID=America/Detroit:20171103T190000
DTSTAMP:20260607T000659
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000619-1509732000-1509735600@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-4/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171102T140000
DTEND;TZID=America/Detroit:20171102T150000
DTSTAMP:20260607T000659
CREATED:20230905T171415Z
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SUMMARY:MICDE Seminar: Thomas Devereaux\, Photon Science\, Stanford University
DESCRIPTION:Bio: Professor Devereaux received his Ph.D. in Physics from the University of Oregon in 1991\, M.S. from University of Oregon in 1988\, and B.S from New York University in 1986. Professor Devereaux is currently the Director of the Stanford Institute for Materials and Energy Sciences (SIMES)\, the Associate Lab Director (ALD) for Photon Science\, a professor in the Photon Science Faculty at SLAC National Accelerator Laboratory and Stanford University and a Senior Fellow of the Precourt Institute for Energy. SIMES is a joint institute between Stanford main campus and SLAC\, a national laboratory\, focusing on scientific foundations related to the energy challenge facing our society. Professor Devereaux was a Post-doctoral Fellow at the Max Planck Institut\, Stuttgart\, (1991-1993)\, a Post-doctoral Fellow at the University of California\, Davis\, CA\, (1993-1996)\, an Assistant Professor at The George Washington University\, Washington\, DC\, (1996-1999)\, and an Associate Professor (1999-2006) and Professor (2006-2007) at the University of Waterloo\, Waterloo\, ON\, Canada.\nHis main research interests lie in the areas of theoretical condensed matter physics and computational physics. His research effort focuses on using the tools of computational physics to understand quantum materials. Fortunately\, we are poised in an excellent position as the speed and cost of computers have allowed us to tackle heretofore unaddressed problems involving interacting systems. The goal of his research is to understand electron dynamics via a combination of analytical theory and numerical simulations to provide insight into materials of relevance to energy science. His group carries out numerical simulations on SIMES’ high-performance supercomputer\, the National Energy Research Scientific Computing Center (NERSC)\, and other US and Canadian computational facilities. The specific focus of the group is the development of numerical methods and theories of photon-based spectroscopies of strongly correlated materials.\nProfessor Devereaux’s awards include: U. S. Department of Education Fellowship (1989-1991); Junior Scholar Incentive Award\, George Washington University (1998); Research Fellowship of the Alexander von Humboldt Foundation (2002-2006); Premier’s Research Excellence Award\, Province of Ontario (2003); Scientist Research Fellowship\, Embassy of France (2005); and Fellow of the American Physics Society (2008). \nLight controlled topological phase transitions in multi-orbital and frustrated magnetic systems\nSpurred by recent progress in melting\, enhancement and induction of electronic order out of equilibrium\, a tantalizing prospect concerns instead accessing transient Floquet steady states via broad pump pulses\, to affect electronic properties. Here\, we consider a two-pronged approach to manipulate the topology of a band insulator\, as well as topological order in a Mott insulator. We first consider monolayer transition-metal dichalcogenides (TMDCs) [1]\, and show that their low-energy description as massive 2D relativistic fermions fails to hold for optical pumping. Instead\, the added complexity of a realistic materials description leads to a novel mechanism to optically induce topologically-protected chiral edge modes\, facilitating optically-switchable conduction channels that are insensitive to disorder. We develop a strategy to understand non-equilibrium Floquet-Bloch bands and topological transitions directly from ab initio calculations\, and illustrate for the example of WS2 that control of chiral edge modes can be dictated solely from symmetry principles and is not qualitatively sensitive to microscopic materials details. Second\, we extend these ideas to strongly correlated systems and show that pumping frustrated Mott insulators with circularly-polarized light can drive the effective spin system across a phase transition to a chiral spin liquid (CSL) [2]. We show that the transient time evolution of a Kagome lattice Hubbard model is well captured by an effective spin description\, where circular polarization promotes a staggered scalar spin chirality Si . (Sj x Sk) directly to the Hamiltonian level. We fingerprint the ensuing phase diagram and find a stable photo-induced CSL in proximity to the equilibrium ground state. The results presented suggest new avenues to marry dynamical symmetry breaking\, strong interactions\, and ab initio materials modelling\, to access elusive phase transitions that are not readily accessible in equilibrium. \nReferences:\n[1] M. Claassen et al\, Nature Comm. 7\, 13074 (2016).\n[2] M. Claassen et al\, arXiv:1611.07964\, to appear in Nature Communications. \nThis is a joint CM Theory seminar. Prof. Devereaux is being hosted by Prof. Gull (Physics). If you are interested in meeting with him during his visit please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-thomas-devereaux-photon-science-stanford-university/
LOCATION:4448 East Hall\, 530 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171027T180000
DTEND;TZID=America/Detroit:20171027T190000
DTSTAMP:20260607T000659
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000618-1509127200-1509130800@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-5/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171025T150000
DTEND;TZID=America/Detroit:20171025T160000
DTSTAMP:20260607T000659
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000091-1508943600-1508947200@micde.umich.edu
SUMMARY:MICDE Seminar: Irina Tezaur\, Extreme Scales Data Science and Analytics Department\, Sandia National Laboratories
DESCRIPTION:Bio: Dr. Irina Tezaur (f.k.a. Dr. Irina Kalashnikova) is a Principal Member of Technical Staff (PMTS) in the Extreme Scales Data Science & Analytics Department (Org. 8759) at Sandia National Laboratories in Livermore\, CA. Prior to joining this group\, from October 2011 to September 2014\, she was SMTS in the Computational Mathematics Department (Org. 1442) at Sandia in Albuquerque\, NM. She received her Ph.D. in Computational and Mathematical Engineering (CME) from Stanford University in 2011. Her advisor at Stanford was Professor Charbel Farhat and I was a member of the Farhat Research Group (FRG). Her Bachelors and Masters degrees are in pure mathematics\, awarded by the University of Pennsylvania in 2006. Dr. Tezaur’s research interests are numerical solution to PDEs\, mixed/hybrid finite element methods\, stability and convergence properties of numerical methods\, Reduced Order Modeling (ROM) and simulation-based analysis of fluid-structure interaction that she currently applies to climate modeling. \nNext-generation modeling & simulation of large-scale ice sheets towards probabilistic sea-level change projections\nRecent observations show that both the Greenland and Antarctic ice sheets are losing mass at increasingly rapid rates [1]. In its fourth assessment report (AR4)\, the Intergovernmental Panel on Climate Change (IPCC) declined to include estimates of future sea-level change from dynamics of the polar ice sheets due to the inability of ice sheet models to mimic or explain observed dynamic behaviors\, such as the acceleration and thinning then occurring on several of Greenland’s large outlet glaciers [2]. In recent years\, there has been a push to develop “next generation” land-ice models and codes for integration into global Earth System Models (ESMs). Unlike their predecessors\, these codes: (1) are able to perform realistic\, high-resolution\, continental scale simulations\, (2) are robust\, efficient and scalable on next-generation hybrid systems (multi-core\, many-core\, GPU\, Intel Xeon Phi)\, and (3) possess built-in advanced analysis capabilities (e.g.\, sensitivity analysis\, optimization\, uncertainty quantification). This talk will give an overview of the Albany/FELIX (Finite Elements for Land Ice eXperiments) [3] next-generation land-ice dynamical core (dycore) that is under development at Sandia National Laboratories as a part of a Department of Energy (DOE) SciDAC-funded project aimed at providing probabilistic sea-level projections from extreme-scale ice sheet and earth system models. This dycore is currently being integrated in to the DOE’s Acelerated Climate Model for Energy (ACME)\, which will be used to calculate anticipated 21st sea-level change projections\, including uncertainty bounds. It is widely accepted that land-ice behaves like a very viscous\, shear-thinning\, non-Newtonian fluid\, similar to lava flow. Typically\, ice sheets are modeled using a quasi-static model in which a steady momentum-balance system for the ice velocities is coupled to dynamic equations for the ice thickness and temperature. The Albany/FELIX dycore is based on the so-called “First-Order Stokes” equations for the ice momentum balance [4]\, an attractive alternative to the more expensive “Full Stokes” model because of its reduced computational cost. Following an overview of our land-ice model and project\, I will describe some of the algorithms and software we have developed as a part of this project that have contributed to our dycore’s robustness and scalability. These include: robust automatic-differentiation-based nonlinear solvers\, scalable algebraic-multigrid-based iterative linear solvers [5]\, adaptive mesh refinement capabilities\, and stable semi-implicit First-Order Stokes-thickness coupling methods. I will also discuss some of the advanced analysis capabilities in Albany/FELIX\, namely a large-scale inversion approach we have developed for obtaining optimal ice initial conditions [6]\, our workflow towards quantifying uncertainties in land-ice models\, and performance-portability of the Albany/FELIX code to new and emerging architectures using the Kokkos library [7]. I will show results which demonstrate that the Albany/FELIX dycore is scalable\, fast and robust for production-scale land-ice problems on state-of-the-art HPC machines. I will also discuss results from a recent validation study in which Albany/FELIX was used to simulate the Greenland ice sheet during the period 1991-2013 with realistic climate forcing\, and the simulation data were compared with observational data collected by NASA satellites [8]. \nThis work was done in collaboration with Irina Demeshko\, Mike Eldred\, Matt Hoffman\, John Jakeman\, Mauro Perego\, Steve Price\, Andy Salinger\, Ray Tuminaro and Jerry Watkins. \nDr. Tezaur is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet her please email mcteja@umich.edu \n[1] I. Velicogna. Increasing rates of ice mass loss from the Greenland and Antarctic ice sheets revealed by GRACE. Geophysical Research Letters\, 36 (19) L19503\, 2009.\n[2] S. Solomon\, D. Qin\, M. Manning\, Z. Chen\, M. Marquis\, K. Averyt\, M. Tignor\, H. Miller. Climate change 2007: The physical science basis\, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change\, Cambridge Univ. Press\, Cambridge\, UK\, 2007.\n[3] I. Tezaur\, M. Perego\, A. Salinger\, R. Tuminaro\, S. Price. Albany/FELIX: A Parallel\, Scalable and Robust Finite Element Higher-Order Stokes Ice Sheet Solver Built for Advanced Analysis\, Geosci. Model Develop. 8 (2015) 1-24.\n[4] J.K. Dukowicz\, S.F. Price\, W. Lipscomb. Consistent approximations and boundary conditions for ice-sheet dynamics from a principle of least action. J. Glaciol.\, 56 (197) (2010) 480-496.\n[5] R. Tuminaro\, M. Perego\, I. Tezaur\, A. Salinger\, S. Price. A matrix dependent/algebraic multigrid approach for extruded meshes with applications to ice sheet modeling\, SIAM J. Sci. Comput. 38 (5) (2016) C504-C532.\n[6] M. Perego\, S. Price\, G. Stadler. Optimal initial conditions for coupling ice sheet models to earth system models\, J. Geophys. Res.\, 119 (2014) 1894-1917.\n[7] H.C. Edwards\, C.R. Trott\, D. Sunderland. Kokkos: Enabling manycore performance portability through polymorphic memory access patterns. J. Par. and Distr. Comput.\, 74 (12) 3202–3216\, 2014.\n[8] S. Price\, M. Hoffman\, J. Bonin\, T. Neumann\, I. Howat\, J. Guerber\, I. Tezaur\, J. Saba\, J. Lanaerts\, D. Chambers\, W. Lipscomb\, M. Perego\, A. Salinger\, R. Tuminaro. An ice sheet model validation framework for the Greenland ice sheet\, Geosci. Model Dev. 10 (2017) 255-270
URL:https://micde.umich.edu/event/micde-seminar-irina-tezaur-extreme-scales-data-science-analytics-department-sandia-national-laboratories/
LOCATION:1006 H.H. Dow\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171020T180000
DTEND;TZID=America/Detroit:20171020T190000
DTSTAMP:20260607T000659
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000617-1508522400-1508526000@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-6/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171019T153000
DTEND;TZID=America/Detroit:20171019T163000
DTSTAMP:20260607T000659
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000090-1508427000-1508430600@micde.umich.edu
SUMMARY:MICDE Seminar: Panos Papadopoulos\, Department of Mechanical Engineering\, University of California\, Berkeley
DESCRIPTION:Bio: Panos Papadopoulos is a Professor of Mechanical Engineering at the University of California\, Berkeley\, and director of the Computational Solid Mechanics Laboratory. After obtaining his Diploma in Civil Engineering from the Aristotle University\, Greece\, he moved to California to pursue his graduate studies. He obtained his M. Sc. and Ph.D. in Civil Engineering from UC Berkeley. His research involves experimental\, analytical and computational studies of several mechanics systems. Prof. Papadopoulus develops and applied the finite element method to problems in biomechanics\, dynamics of pseudo-rigid bodies\, mechanics of continues media\, plasticity\, materials science and contact mechanics. \nMultiscale Modeling in Continuum Mechanics: A connection to the Irving-Kirkwood procedure\nThis talk describes a method for extending the classical Irving-Kirkwood procedure used in statistical mechanics for extracting local fluxes to the problem of continuum-on-continuum multiscale modeling. Expressions for stress and heat flux derived here are contrasted to those obtained using the standard Hill-Mandel approach. The polar nature of the macroscopic solid and the role of multiscale invariance are also addressed in the context of this method. Applications are explored within the finite element-based homogenization of solids. \nProf. Papadopoulos is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with him please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-panos-papadopoulos-department-of-mechanical-engineering-university-of-california-berkeley/
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171019T120000
DTEND;TZID=America/Detroit:20171019T133000
DTSTAMP:20260607T000659
CREATED:20230905T171405Z
LAST-MODIFIED:20230905T171405Z
UID:10000115-1508414400-1508419800@micde.umich.edu
SUMMARY:Mechanical Engineering Seminar: Mark Owkes\, Department of Mechanical and Industrial Engineering\, Montana State University
DESCRIPTION:Bio: Mark Owkes is an Assistant Professor in the department of Mechanical and Industrial Engineering at Montana State University. He earned a BS in Mechanical Engineering from Clarkson University in 2008. He subsequently attained an MS in Mechanical Engineering from the University of Colorado at Boulder in 2011 under the direction of Prof. Olivier Desjardins. He continued his work under Prof. Desjardins at Cornell University where he earned his Ph.D. in May 2014. Mark’s research interests include the development of numerical methods for capturing gas-liquid interfaces in multiphase flow simulations. His simulations of primary atomization provide insight into the physical phenomena important in the break-up of a liquid jet into droplets. Notably\, he has developed both a level set and a volume-of-fluid interface capturing schemes and multiple approaches to compute the curvature of a gas-liquid interface which is important for accurate surface tension forces. \nGas-Liquid Flows: Numerical Methods through Simulations on Supercomputers\nGas-liquid flows exist within many engineering devices including fuel injectors\, wave energy extraction devices\, fire suppression systems\, and PEM fuel cells. Many of these flows are challenging to explore experimentally and computational fluid dynamics (CFD) simulations offer an alternative and useful approach to advance our understanding. For example\, the breakup of liquid fuel into droplets via atomization has a direct effect on combustion efficiency and pollutant formation\, yet a fundamental understanding of the complex process is absent. Laboratory experiments are inherently difficult to conduct because atomizing jets produce a large number of opaque droplets that hinder optical access to the breakup dynamics. With increasing computational resources and advancements in numerical methods\, computational fluid dynamics (CFD) has emerged as a promising tool to investigate the fundamental nature of atomization. In this presentation\, I will present an overview of difficulties arising due to the discontinuities that exist at the gas-liquid interface and recent advances in numerical methods that overcome these challenges. Then I will discuss efforts to improve the the usefulness of the very large data-sets that result from CFD simulations. Details on computing the curvature of a gas-liquid interface\, implementing contact line dynamics\, performing physics extraction\, and coupling gas-liquid flow calculations with uncertainty quantification we be discussed.
URL:https://micde.umich.edu/event/mechanical-engineering-seminar-mark-owkes-department-of-mechanical-and-industrial-engineering-montana-state-university/
LOCATION:1012 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/Seminar2017MarkOwkes-Capecelatro.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171016T090000
DTEND;TZID=America/Detroit:20171016T130000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000094-1508144400-1508158800@micde.umich.edu
SUMMARY:[MICDE] 1st Workshop on Computational Neuroscience
DESCRIPTION:MICDE and the Graduate Program in Neuroscience have organized the first Computational Neuroscience Workshop. The goal of the event is to bring together the U-M community of neuroscientists who use computational methods in their research\, and to start building new bridges across disciplines and departments. For more information and to register…
URL:https://micde.umich.edu/event/micde-1st-workshop-on-computational-neuroscience/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
GEO:42.2807324;-83.7400253
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Space 2435 North Quad 105 S. State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=105 S. State St.:geo:-83.7400253,42.2807324
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171013T180000
DTEND;TZID=America/Detroit:20171013T190000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000616-1507917600-1507921200@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-8/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/04/SC2_simple.png
GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1311 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:20171006T180000
DTEND;TZID=America/Detroit:20171006T190000
DTSTAMP:20260607T000659
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000615-1507312800-1507316400@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/04/SC2_simple.png
GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1311 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:20171003T160000
DTEND;TZID=America/Detroit:20171003T170000
DTSTAMP:20260607T000659
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000089-1507046400-1507050000@micde.umich.edu
SUMMARY:MICDE Seminar: Margaret Cheung\, Department of Physics\, University of Houston
DESCRIPTION:Bio: Margaret Cheung is an Associate Professor of Physics at the University of Houston. She graduated from the National Taiwan University with a bachelor’s degree in chemistry and received her Ph.D. in physics from the University of California\, San Diego. She carried out theoretical biological physics and bioinformatics research as a Sloan Postdoctoral Fellow at the University of Maryland and started her lab at the University of Houston in 2006. Professor Cheung’s research is in the field of protein folding inside a cell\, calmodulin dependent calcium signaling\, and quantum efficiency in artificial photosynthetic materials. She is particularly interested in developing coarse-grained models for protein dynamics in crowded systems\, creating multi-physics models that bridge dynamics across wide temporal and spatial scales\, and designing computational algorithms that effectively integrate novel high-performance resources. These systems can then be applied for understanding of biological function and for developing therapeutic strategies. She is a fellow of the American Physical Society and a Senior Scientist at the Center for Theoretical Biological Physics at Rice University. \nMolecular Underpinning of Postsynaptic Calmodulin-dependent Calcium Signaling\nCalcium (Ca2+) is exquisitely utilized by a cell for transducing external stimuli through its gradient of extracellular (~1000 μM) and intracellular (~0.1 μM) concentration. A broad spectrum of Ca2+ signals are encoded by protein calmodulin (CaM) through specific binding with various targets regulating CaM-dependent Ca2+ signaling pathways in neurons. I will focus on binding between CaM and two specific targets\, Ca2+/CaM-dependent protein kinase II (CaMKII) and neurogranin (Ng)\, as they antagonistically regulate CaM-dependent Ca2+ signaling pathways in neurons. I will show the impact of bound calmodulin (CaM)-target compound structure on the affinity of calcium (Ca2+) by integrating coarse-grained models and all-atomistic simulations with non-equilibrium physics. We discovered the molecular underpinnings of lowered affinity of Ca2+ for CaM in the presence of Ng by showing that the N-terminal acidic region of Ng peptide pries open the β-sheet structure between the Ca2+ binding loops particularly at C-domain of CaM\, enabling Ca2+ release. In contrast\, CaMKII peptide increases Ca2+ affinity for the C-domain of CaM by stabilizing the two Ca2+ binding loops. Through distinctive structural differences in the bound complexes of apoCaM-Ng13-49 and holoCaM-CaMKII\, CaM’s affinity for Ca2+ is delineated by its progressive mechanism of target binding. I will discuss them in the context of evolution and in the crowded environment. \nProf. Cheung is being hosted by Prof. Geva (Chemistry)
URL:https://micde.umich.edu/event/micde-seminar-margaret-cheung-department-of-physics-university-of-houston/
LOCATION:CHEM 1640\, 930 N University\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2017/08/Margaret-Cheung.png
GEO:42.2780183;-83.7370191
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=CHEM 1640 930 N University Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=930 N University:geo:-83.7370191,42.2780183
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170925T170000
DTEND;TZID=UTC:20170925T180000
DTSTAMP:20260607T000659
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000055-1506358800-1506362400@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - Central Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \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 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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-f2017/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2001 LSA Building 500 State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 State St.:geo:-83.7413068,42.2761921
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170922T170000
DTEND;TZID=America/Detroit:20170922T180000
DTSTAMP:20260607T000659
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000103-1506099600-1506103200@micde.umich.edu
SUMMARY:MIDAS Seminar: Jimmy Soni & Rob Goodman\, authors of "A Mind at Play: How Claude Shannon Invented the Information Age"
DESCRIPTION:Authors Jimmy Soni and Rob Goodman will talk about their new book on U-M alum Claude Shannon: “A Mind at Play: How Claude Shannon Invented the Information Age.” \nThe talk will be followed by a book signing. \nJimmy Soni is an author and editor. He has worked as an editor at The New York Observer and The Washington Examiner. He has worked as a speechwriter\, and his writing and commentary have appeared in Slate\, The Atlantic\, and CNN. He is a graduate of Duke University and was named to the Forbes 30 Under 30. With Rob Goodman\, he is the coauthor of Rome’s Last Citizen: The Life and Legacy of Cato\, Mortal Enemy of Caesar and A Mind at Play: How Claude Shannon Invented the Information Age. \nRob Goodman is a doctoral candidate at Columbia University and a former congressional speechwriter. He has written for Slate\, The Atlantic\, Politico Magazine\, and The Chronicle of Higher Education. His scholarly work has appeared in History of Political Thought\, the Kennedy Institute of Ethics Journal\, and The Journal of Medicine and Philosophy. With Jimmy Soni\, he is the coauthor of Rome’s Last Citizen: The Life and Legacy of Cato\, Mortal Enemy of Caesar and A Mind at Play: How Claude Shannon Invented the Information Age.
URL:https://micde.umich.edu/event/midas-seminar-jimmy-soni-rob-goodman-authors-of-a-mind-at-play-how-claude-shannon-invented-the-information-age/
LOCATION:Rackham Building\, 4th Floor\, 915 E. Washington\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MIDAS Seminar Series
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building 4th Floor 915 E. Washington Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170921T170000
DTEND;TZID=UTC:20170921T180000
DTSTAMP:20260607T000659
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000056-1506013200-1506016800@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - North Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \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 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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-2017f/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
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:20170713T090000
DTEND;TZID=America/Detroit:20170713T173000
DTSTAMP:20260607T000659
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000084-1499936400-1499967000@micde.umich.edu
SUMMARY:Symposium: Advances on Turbulence Modeling
DESCRIPTION:The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state­ of­ the ­art in turbulence modeling from an academic and an industrial perspective\, and place some of the newer developments in RANS modeling (such as uncertainty quantification\, data­-driven modeling\, etc.) in the context of main­stream turbulence modeling. \nSpeakers include: \n\nFlorian Menter\, Ansys\nSuad Jakirlic\, TU Darmstadt\nRobert Moser\, U. Texas\n\nFor more details and to register go to http://turbgate.engin.umich.edu/symposium/
URL:https://micde.umich.edu/event/symposium-advances-on-turbulence-modeling/2017-07-13/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170712T090000
DTEND;TZID=America/Detroit:20170712T173000
DTSTAMP:20260607T000659
CREATED:20230905T171424Z
LAST-MODIFIED:20230905T171424Z
UID:10000083-1499850000-1499880600@micde.umich.edu
SUMMARY:Symposium: Advances on Turbulence Modeling
DESCRIPTION:The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state­ of­ the ­art in turbulence modeling from an academic and an industrial perspective\, and place some of the newer developments in RANS modeling (such as uncertainty quantification\, data­-driven modeling\, etc.) in the context of main­stream turbulence modeling. \nSpeakers include: \n\nFlorian Menter\, Ansys\nSuad Jakirlic\, TU Darmstadt\nRobert Moser\, U. Texas\n\nFor more details and to register go to http://turbgate.engin.umich.edu/symposium/
URL:https://micde.umich.edu/event/symposium-advances-on-turbulence-modeling-2-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170711T090000
DTEND;TZID=America/Detroit:20170711T173000
DTSTAMP:20260607T000659
CREATED:20230905T171437Z
LAST-MODIFIED:20230905T171437Z
UID:10000082-1499763600-1499794200@micde.umich.edu
SUMMARY:Symposium: Advances on Turbulence Modeling
DESCRIPTION:The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state­ of­ the ­art in turbulence modeling from an academic and an industrial perspective\, and place some of the newer developments in RANS modeling (such as uncertainty quantification\, data­-driven modeling\, etc.) in the context of main­stream turbulence modeling. \nSpeakers include: \n\nFlorian Menter\, Ansys\nSuad Jakirlic\, TU Darmstadt\nRobert Moser\, U. Texas\n\nFor more details and to register go to http://turbgate.engin.umich.edu/symposium/
URL:https://micde.umich.edu/event/symposium-advances-on-turbulence-modeling-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170628T140000
DTEND;TZID=America/Detroit:20170628T150000
DTSTAMP:20260607T000659
CREATED:20230905T171437Z
LAST-MODIFIED:20230905T171437Z
UID:10000085-1498658400-1498662000@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster-4/
LOCATION:Room 3114\, Med Sci I\, 1301 Catherine St.\, Ann Arbor\, MI\, United States
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2839264;-83.7322658
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Room 3114 Med Sci I 1301 Catherine St. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1301 Catherine St.:geo:-83.7322658,42.2839264
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170627T100000
DTEND;TZID=America/Detroit:20170627T110000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000086-1498557600-1498561200@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster-3/
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170621T110000
DTEND;TZID=America/Detroit:20170621T120000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000087-1498042800-1498046400@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster-2/
LOCATION:NCRC Building 300\, Room 376\, 1600 Huron Parkway\, Ann Arbor\, MI\, United States
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2996792;-83.7033068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=NCRC Building 300 Room 376 1600 Huron Parkway Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1600 Huron Parkway:geo:-83.7033068,42.2996792
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170620T090000
DTEND;TZID=America/Detroit:20170620T100000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000088-1497949200-1497952800@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
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:20170518T130000
DTEND;TZID=America/Detroit:20170519T170000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000080-1495112400-1495213200@micde.umich.edu
SUMMARY:Symposium of the Center for Network and Storage-Enabled Collaborative Computational Science
DESCRIPTION:The Center for Network and Storage Enabled Collaborative Computational Science is hosting a 1.5 day symposium at the University of Michigan exploring the themes the Center was founded on. The Center seeks to address the challenges of extracting scientific results collaboratively from large\, distributed or diverse data. For more information please visit https://live-umor-micde.pantheonsite.io/centers/cnseccs/2017-symposium/
URL:https://micde.umich.edu/event/symposium-of-the-center-for-network-and-storage-enabled-collaborative-computational-science/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/networking.jpg
GEO:42.2807324;-83.7400253
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Space 2435 North Quad 105 S. State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=105 S. State St.:geo:-83.7400253,42.2807324
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170424T110000
DTEND;TZID=America/Detroit:20170424T130000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000081-1493031600-1493038800@micde.umich.edu
SUMMARY:MIDAS Working Group on NSF solicitation for Big Data Spokes
DESCRIPTION:This working group is organized by MIDAS to respond to the NSF Big Data Spokes funding solicitation (BD Spokes).   \nAgenda: \n\nA brief presentation about the funding opportunity and the background of the regional BD Hubs (Midwest\, Northeast\, South and West) and existing Spokes\nDiscussion of ideas of new Spokes and forming collaborative teams (within and outside of UM)\nDiscussion on aligning and working with regional BD hubs\n\nThe BD Spokes will work with regional BD hubs and existing spokes to accelerate progress towards societal grand challenges in regional and national priority areas\, help automate the Big Data lifecycle\, enable access to and increase the use of important data sets\, and contribute to education and training.  The focus areas specified by NSF include: Education; Data Intensive Research in the Social\, Behavioral\, and Economic Sciences; Data-driven Research in Chemistry; Neuroscience; Data Analytics for Security; Replicability and Reproducibility in Data Science.  All researchers interested in proposing or collaborating on new BD Spokes are welcome to our working group. \nImportant Dates: \n\nMay 17\, 2017: University of Michigan internal deadline for declaring intent.  NSF allows only one proposal from each university as the lead institution\n\n\nSept. 18\, 2017: full proposal due to NSF\n\nPlease RSVP.  For questions\, please contact Jing Liu\, MIDAS research specialist (ljing@umich.edu; 734-764-2750).  
URL:https://micde.umich.edu/event/midas-working-group-on-nsf-solicitation-for-big-data-spokes/
LOCATION:MIDAS – SPH I\, Suite 7625\, 1415 Washington Heights\, Ann Arbor\, MI\, 48109-2029\, United States
CATEGORIES:Data Science,Workshops
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DTSTART;TZID=America/Detroit:20170418T083000
DTEND;TZID=America/Detroit:20170418T170000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
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SUMMARY:2017 MICDE Annual Symposium
DESCRIPTION:Please join us for the Michigan Institute for Computational Discovery and Engineering 2017 Symposium. The event features eminent scientists from around the world and the U-M campus. The symposium this year focuses on the “New Era of Data-Enabled Computational Science.” \nSpeakers: \n\nFrederica Darema — Director\, Air Force Office of Scientific Research\nGeorge Karniadakis —  Professor of Applied Mathematics\, Brown University\nTinsley Oden — Director of the Institute for Computational Engineering and Sciences\, V.P. for Research\, University of Texas at Austin\nKaren Willcox — Professor of Aerospace and Aeronautics\, Massachusetts Institute of Technology\, co-Director of MIT Center for Computational Engineering\nJacqueline H. Chen — Distinguished Member of Technical Staff at the Combustion Research Facility\, Sandia National Laboratories\nLaura Balzano — Assistant Professor\, Electrical Engineering and Computer Science\, U-M\nEmanuel Gull — Assistant Professor\, Physics\n\nThe symposium features a poster competition and more. For more information and to register go to https://live-umor-micde.pantheonsite.io/symposium17/ \nPast Symposia\n2016 MICDE Annual Symposium \nResearch Computing Symposium Fall 2014  \n 
URL:https://micde.umich.edu/event/2017-micde-annual-symposium/
LOCATION:Rackham Building\, 4th Floor\, 915 E. Washington\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20170317T110000
DTEND;TZID=America/Detroit:20170317T120000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
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SUMMARY:MICDE Seminar: Yongjie Jessica Zhang\, Mechanical Engineering and Biomedical Engineering\, Carnegie Mellon University
DESCRIPTION:Bio: Yongjie Jessica Zhang is a Professor in Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Biomedical Engineering. She received her B.Eng. in Automotive Engineering\, and M.Eng. in Engineering Mechanics from Tsinghua University\, China; and M.Eng. in Aerospace Engineering and Engineering Mechanics and Ph.D. in Computational Engineering and Sciences from Institute for Computational Engineering and Sciences (ICES)\, The University of Texas at Austin. After staying two years at ICES as a postdoctoral fellow\, she joined CMU in 2007 as an assistant professor\, and then was promoted to an associate professor in 2012 and a full professor in 2016. Her research interests include computational geometry\, mesh generation\, computer graphics\, visualization\, finite element method\, isogeometric analysis and their application in computational biomedicine\, material sciences and engineering. She has co-authored over 140 publications in peer-reviewed journals and conference proceedings\, and received the Autodesk Best Paper Award 1st Place in SIAM Conference on Solid and Physical Modeling 2015\, the Best Paper Award in CompIMAGE’16 conference and one of the 5 Most Highly Cited Papers Published in Computer-Aided Design during 2014-2016. She recently published a book entitled “Geometric Modeling and Mesh Generation from Scanned Images” with CRC Press\, Taylor & Francis Group. She is the recipient of Presidential Early Career Award for Scientists and Engineers\, NSF CAREER Award\, Office of Naval Research Young Investigator Award\, USACM Gallagher Young Investigator Award\, Clarence H. Adamson Career Faculty Fellow in Mechanical Engineering\, George Tallman Ladd Research Award\, and Donald L. & Rhonda Struminger Faculty Fellow. \nImage-Based Mesh Generation and Volumetric T-Spline Modeling for Isogeometric Analysis with Engineering Applications\nWith finite element method and scanning technology seeing increased use in many research areas\, there is an emerging need for high-fidelity geometric modeling and mesh generation of spatially realistic domains. This talk will highlight research in three areas: image-based mesh generation for complicated domains\, trivariate spline modeling for isogeometric analysis\, as well as biomedical\, material sciences and engineering applications. First Prof. Zhang will present advances and challenges in image-based geometric modeling and meshing along with a comprehensive computational framework\, which integrates image processing\, geometric modeling\, mesh generation and quality improvement with multi-scale analysis at molecular\, cellular\, tissue and organ scales. Different from other existing methods\, the presented framework supports five unique features: high-fidelity meshing for heterogeneous domains with topology ambiguity resolved; multiscale geometric modeling for biomolecular complexes; automatic all-hexahedral mesh generation with sharp feature preservation; robust quality improvement for non-manifold meshes; and guaranteed-quality meshing. These unique capabilities enable accurate\, stable\, and efficient mechanics calculation for many biomedicine\, materials science and engineering applications. As a new advancement of traditional finite element method\, isogeometric analysis (IGA) was proposed to integrate design and analysis. In the second part of this talk\, she will present her latest research on volumetric T-spline parameterization for IGA applications. For arbitrary-topology objects\, we first build a polycube whose topology is equivalent to the input geometry and it serves as the parametric domain for the following trivariate T-spline construction. Boolean operations\, geometry skeleton and centroidal Voronoi tessellation based surface segmentation are used to preserve surface features. A parametric mapping is then used to build a one-to-one correspondence between the input geometry and the polycube boundary. After that\, we choose the deformed octree subdivision of the polycube as the initial T-mesh\, and make it valid through pillowing\, quality improvement\, and applying templates or truncated subdivision schemes to handle extraordinary nodes. Weighted and truncated T-spline basis functions are derived to enable analysis-suitability\, including partition of unity and linear independence. The developed pipelines have been incorporated into commercial software such as Rhino and Abaqus. \nProf. Zhang is being hosted by Prof. Garikipati (Mechanical Engineering)
URL:https://micde.umich.edu/event/micde-seminar-yongjie-jessica-zhang-mechanical-engineering-and-biomedical-engineering-carnegie-mellon-university/
LOCATION:1200 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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DTSTART;TZID=America/Detroit:20170308T140000
DTEND;TZID=America/Detroit:20170308T150000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
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SUMMARY:SC2/MICDE Seminar: Eric Jankowski\, Materials Science and Engineering\, Boise State University
DESCRIPTION:Bio: Eric Jankowski is an assistant professor of Materials Science and Engineering at Boise State University. He earned his PhD in Chemical Engineering from the University of Michigan in 2012\, where he developed computational tools to study the self-assembly of nanoparticles. These tools leveraged graphics processors to accelerate computations and provided insight into systems of both theoretical and practical importance. Dr. Jankowski began focusing on renewable energy generation during his postdoctoral positions at the University of Colorado and the National Renewable Energy Laboratory. At these postdocs\, Dr. Jankowski applied techniques he developed during his thesis to understand factors that determine the ordering of molecules in organic solar cells. \nThis is a joint seminar of the Scientific Computing Student Club and MICDE\, sponsored in part by U-M Rackham Graduate School.   \n  \nCobbling together computational components to engineer inexpensive plastic solar panels\nIn order to meet projected global energy demands over the next 25 years\, the equivalent of building a 1GW power plant each day is needed. Existing clean power generation technologies can meet this demand in principle\, but their relatively large short-term costs have limited widespread adoption. In this work we explain manufacturing strategies for organic (plastic) solar panels that overcome economic barriers to adoption by optimizing the structure of the organic active layer responsible for generating electricity. We perform coarse-grained molecular dynamics simulations accelerated with graphics processing units to determine the thermodynamically stable morphologies for a variety of candidate ingredients. Using these morphologies we perform kinetic Monte Carlo charge transport simulations to determine which morphologies are better candidates for solar devices. The simulation pipeline developed here combines computational tools developed for solving unrelated problems\, and we discuss the evolving landscape of scientific computing education and how it overlaps with this work. \n 
URL:https://micde.umich.edu/event/sc2micde-seminar-eric-jankowski-material-science-and-engineering-boise-state-university/
LOCATION:2540 G.G. Brown (2350 Hayward St.)\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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GEO:42.292998;-83.7152904
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170307T160000
DTEND;TZID=America/Detroit:20170307T170000
DTSTAMP:20260607T000659
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
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SUMMARY:MICDE Seminar: Michael Eldred\, Computation\, Computers\, Information\, and Mathematics Center\, Sandia National Laboratories
DESCRIPTION:Bio: Michael Eldred is a Distinguished Member of the Technical Staff in the Optimization and Uncertainty Quantification Department within the Computation\, Computers\, Information\, and Mathematics Center at Sandia National Laboratories. He received his B.S. in Aerospace Engineering from Virginia Tech in 1989\, his M.S.E. and Ph.D. in Aerospace Engineering from the University of Michigan in 1990 and 1993. Mike led the DAKOTA project\, a “… toolkit that provides a flexible\, extensible interface between analysis codes and iterative systems analysis methods…”\, for 15 years (1994-2009) and now leads algorithm research and development activities related to DAKOTA. Mike’s research interests include uncertainty quantification\, design under uncertainty\, surrogate-based optimization\, and high-performance computing\, with application to stockpile stewardship and energy initiatives through the NNSA ASC\, DOE ASCR\, and DOE SciDAC programs. \nMike is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a member of the Society for Industrial and Applied Mathematics (SIAM)\, the International Society for Structural and Multidisciplinary Optimization (ISSMO)\, and the United States Association for Computational Mechanics (USACM). He currently serves as a member of the AIAA Nondeterministic Approaches Technical Committee and on the editorial board for the International Journal for Uncertainty Quantification. A number of his publications are available on the DAKOTA web site. \nTitle: Multilevel-Multifidelity Approaches for Uncertainty Quantification and Design\nIn the simulation of complex physics\, multiple model forms of varying fidelity and resolution are commonly available. In computational fluid dynamics\, for example\, common model fidelities include potential flow\, inviscid Euler\, Reynolds-averaged Navier-Stokes\, and large eddy simulation\, which may be further augmented by subgrid-scale model selections and spatio-temporal discretization levels. In this presentation\, we focus on novel algorithms that simultaneously exploit multiple model forms and multiple resolutions\, both for uncertainty quantification (UQ) and for optimization under uncertainty (OUU). These hybrid methods exploit multifidelity methods across the model form hierarchy in combination with multilevel accelerators across an associated discretization hierarchy\, manifesting as multilevel control variate Monte Carlo and multilevel polynomial expansion methods in the UQ case and recursive trust-region and multigrid optimization in the OUU case. These techniques will be demonstrated for both model problems and engineered systems\, and will be placed within the broader context of algorithm research and development within the Dakota project at Sandia. \nDr. Eldred is being hosted by Prof. Duraisamy (Aerospace Engineering) 
URL:https://micde.umich.edu/event/micde-seminar-michael-eldredcomputation-computers-information-and-mathematics-center-sandia-national-laboratories/
LOCATION:1008 FXB\, 1320 Beal Ave\, Ann Arbor\, MI\, 48109
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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GEO:42.2934832;-83.7119819
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