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SUMMARY:LANL XPS Seminar: Mark W. Schraad\, Division Leader for Computational Physics at Los Alamos National Laboratory
DESCRIPTION:Bio: Mark W. Schraad earned his Ph.D. in Aerospace Engineering from the University of Michigan and has nearly three decades of research and development experience at Los Alamos National Laboratory. He focused his research career on materials physics\, with specialization in structured materials and material instabilities\, while also gaining scientific leadership experience across theoretical and computational physics\, modeling and simulation\, and scientific software development for advanced computing architectures and hardware. Mark has balanced experience across Los Alamos Science\, Technology\, and Engineering and Weapons Directorates\, and across the Laboratory’s basic science and mission application portfolios. In his current position\, he serves as Division Leader for Computational Physics within the Weapons Physics Directorate at Los Alamos National Laboratory. In this role\, he is responsible for the development and delivery of LANL’s suite of mission-critical modeling and simulation software\, which is used in the design\, certification\, and assessment of the U.S. nuclear stockpile. \nHigh-Performance Computing and the Future of Big Science for Department of Energy Applications\nLos Alamos is the birthplace of computational physics and has been at the forefront of high-performance computing for nearly eight decades. Integrating physics theory and advanced numerical methods in the instantiation of multi-physics software has allowed Los Alamos to address a broad range of science and technology applications. Today\, as one of 17 Department of Energy National Laboratories\, Los Alamos continues to develop and deploy advanced software in the execution of a complex mission across national security\, energy security\, and environmental and climate science. As part of that endeavor\, the Computational Physics Division at Los Alamos develops and delivers a continuously evolving suite of production software products to design and analyze large-scale integrated physics experiments and to enable the design\, assessment\, and confident certification of the U.S. nuclear stockpile. These software products are deployed on leading-edge\, high-performance computing platforms\, such as the Trinity and Crossroads supercomputers at Los Alamos\, and the Sierra and El Capitan machines at Lawrence Livermore National Laboratory. With a shifting geopolitical landscape\, our software serves a national security mission of ever-increasing importance. Yet\, simultaneously\, the rapid pace of science and technology change places a premium on agility\, with a diversity of computing platforms and architectures coming online\, and with AI poised to revolutionize approaches to modern science. Ultimately\, an integration of artificial intelligence methodologies with the co-design of software and future computing architectures will allow new levels of physics fidelity\, numerical accuracy\, and efficiency in time to solution for the most challenging scientific workflows to address a broad spectrum of future\, big-science problems. \n  \nSnacks and refreshments will be provided!
URL:https://micde.umich.edu/event/lanl-xps-seminar-mark-w-schraad-division-leader-los-alamos-national-laboratory/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Micde Seminar,MICDE Seminar Series,Scientific Computing
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DTSTART;TZID=America/Detroit:20230929T120000
DTEND;TZID=America/Detroit:20230929T130000
DTSTAMP:20230912T223037Z
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SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/presentationgraduate-studies-in-computational-data-sciences-information-session-2-2/
LOCATION:1100 North University Building – 1528
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
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DTSTART;TZID=America/Detroit:20230927T160000
DTEND;TZID=America/Detroit:20230927T170000
DTSTAMP:20230912T222916Z
CREATED:20230817T202936Z
LAST-MODIFIED:20230912T222916Z
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SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/presentationgraduate-studies-in-computational-data-sciences-information-session/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms\, 3rd floor
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
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DTSTART;TZID=America/Detroit:20230926T123000
DTEND;TZID=America/Detroit:20230926T130000
DTSTAMP:20230921T195259Z
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SUMMARY:MICDE Ph.D. Student Seminar: Haowei Sun
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that you register to attend the seminar. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \nTera City: Accurate and Efficient AV Safety Performance Evaluation\nThis talk is aiming at mitigating current simulation-based AV safety performance evaluation approaches. Tera City is composed of naturalistic driving environment construction and intelligent testing environment construction\, which provided accuracy and efficiency\, respectively. \nHaowei Sun\, Ph.D. candidate in Civil and Environmental Engineering and Scientific Computing \nHaowei Sun is a Ph.D. candidate at Civil Engineering\, Next Generation Transportation System Program. His research focus is mainly on the safety validation and verification of autonomous vehicles. \nRegister to attend this seminar
URL:https://micde.umich.edu/event/phd-seminar-haowei-sun/
LOCATION:2022 South Thayer Building
CATEGORIES:Civil and Environmental Engineering,Computation,Computational Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Michigan Engineering,Phd Seminar,Prospective Graduate Students,Rackham,Science,Scientific Computing,Seminar,Talk
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