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SUMMARY:MICDE & MIDAS Graduate Programs Info Session Central Campus
DESCRIPTION:Join the MICDE and MIDAS teams for a 1-hour information session to learn more about our computational and data science graduate program offerings\, including: the Ph.D. in Scientific Computing\, the Graduate Certificate in Computational Discovery & Engineering\, the Graduate Certificate in Computational Neuroscience\, and the Graduate Certificate in Data Science. \nAfter a short presentation\, each program’s faculty director and/or staff manager will be present to answer questions. \n 
URL:https://micde.umich.edu/event/micde-midas-graduate-programs-info-session-virtual-2/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,Featured Events,Info Session
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170214T150000
DTEND;TZID=America/Detroit:20170214T160000
DTSTAMP:20230905T171440Z
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SUMMARY:MICDE Seminar: Steven White\, Physics & Astronomy\, University of California Irvine
DESCRIPTION:Bio: Steven White did his bachelor’s degree at the University of California in San Diego and received his Ph.D. from Cornell University. Early in his career he was awarded a National Science Foundation fellowship\, and an IBM postdoctoral fellowship. He’s been named an American Physical Society fellow\, and a fellow of the American Association for the Advancement of Science\, and of the American Academy of Arts and Science\, among others. Professor White is most known for inventing the Density Matrix Renormalization Group (DMRG)\, a numerical variation technique for high accuracy calculations of the low energy physics of quantum many-body systems. In 2003 he won the American Physical Society Aneesur Rahman prize\, a recognition of outstanding achievement in computational physics research “…for his development\, application\, and dissemination of the DMRG method”. He has published over one hundred and seventy papers on this and related subjects. \nTensor Network methods for Electronic Structure\nOur conventional picture of wave functions living in an exponentially large Hilbert space is both impractical for solving many particle systems and conceptually lacking: in recent years we have come to understand that physical states of matter live in an infinitesimal corner of Hilbert space\, characterized primarily by low entanglement. Tensor networks are the natural language to express low entanglement wave functions\, giving an exponentially compressed description of ground states. The density matrix renormalization group (DMRG) and other tensor network algorithms have had tremendous success in simulating quantum lattice models.The key challenge in translating these methods to electronic structure is the need to represent continuum space in an efficient way. After an introduction to tensor networks\, I’ll present a new DMRG-based approach suitable for the electronic structure of long molecules. Our sliced-basis DMRG method produces near-exact ground states within its basis\, and has a computation time which is linear in the length of the molecule. We are implementing SBDMRG for chains of hydrogen atoms\, where we have been able to simulate up to 1000 atoms in a minimal basis. \nProf. White is being hosted by Prof. Emanuel Gull (Chemistry)
URL:https://micde.umich.edu/event/micde-seminar-steven-white-physics-astronomy-university-of-california-irvine/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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DTSTART;TZID=America/Detroit:20161025T180000
DTEND;TZID=America/Detroit:20161025T190000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
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SUMMARY:[SC2] DEMO: Visualizations on remote resources
DESCRIPTION:Results of adaptive simulations of a three-dimensional wing undergoing flapping motion in viscous flow. K. Fidkowski (U-M Aerospace) \nOne of the advantages of scientific computing research is the ability to use powerful supercomputers from the convenience of your home computer\, laptop\, tablet\, or even phone! In the next SC2 meeting club members will be demonstrating how you can use these remote resources to run and visualize simulations. Additionally\, we will be demonstrating the “scientific python” stack (Python\, NumPy\, Scipy) to duplicate MATLAB functionality with free\, open source software.
URL:https://micde.umich.edu/event/sc2-demo-visualizations-on-remote-resources/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:SC2
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DTSTART;TZID=UTC:20160922T160000
DTEND;TZID=UTC:20160922T170000
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SUMMARY:MICDE Seminar: Rob Gardner\, University of Chicago
DESCRIPTION:Bio: Robert Gardner is a Senior Scientist at the Computation Institute from the University of Chicago\,  and aSenior Scientist in the Enrico Fermi Institute. He spent his early academic career doing experimental high-energy physics research at different universities in the Midwest. He has been a member of the ATLAS experiment using the Large Hadron Collider at the CERN Laboratory\, Geneva\, Switzerland since 1998. His experimental work led him to specialize in developing and improving distributed computing technologies necessary for discoveries at the frontier of particle physics. He was instrumental in developing early research computing grids in the U.S.: the International Virtual Data Grid Laboratory (iVDGL)\, and the first deployment of the Open Science Grid (OSG) (NSF\, Department of Energy). He have also generated systems for metrics collection for distributed systems (Grid Telemetry\, PI\, NSF-ITR). Currently\, he directs the ATLAS Midwest Tier2 Center\, which is comprised of integrated computing facilities from the University of Chicago\, Indiana University\, and the University of Illinois. \nLeadership cyberinfrastructure for science and the humanities\nIn the past two decades high energy physics transformed its computing model from one relying on a single high performance computing center at the host laboratory to one incorporating resources distributed across institutional boundaries and geographic regions. Given the complexity of detectors and scale of data\, the international collaborations of the Large Hadron Collider at CERN demanded it. By removing barriers to resource sharing\, the resulting data and computation platform democratized the physics process across collaborations. Accelerated modes of scientific discovery by thousands of physicists were forged using hundreds of data centers linked by very high bandwidth networks. Meanwhile the explosion of commercial\, social and enterprise data has driven innovation in resource abstraction and the creation of new service platforms\, offering fresh opportunities to accelerate science and intellectual inquiry at all scales and across all domains. In this talk I’ll discuss the strategic significance that cyberinfrastructure technology plays in this regard and describe models for creating ubiquitous “substrates” that remove obstacles to connecting campuses\, facilities\, instruments and researchers. \nThis seminar is co-sponsored by the U-M department of Physics
URL:https://micde.umich.edu/event/micde-2016-fall-seminar-series-rob-gardner-university-of-chicago/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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