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SUMMARY:Penn AI Seminar Series: Geometric and Physics Stucture Preservation in Scientific Machine Learning
DESCRIPTION:Geometric and Physics Stucture Preservation in Scientific Machine Learning \nNat Trask\, Associate Professor in Mechanical Engineering and Applied Mechanics at Penn Engineering\, will share about his work constructing real-time digital twins built upon a data-driven finite element exterior calculus; constructing auto-regressive integrators with guaranteed long-term stability independent of rollout length; and constructing data-driven particle models built upon metriplectic bracket theory\, which preserve emergent statistical mechanics. \nLunch will be served. \nRegistration is required. Sign up here.
URL:https://seasevents.nmsdev7.com/event/penn-ai-seminar-series-geometric-and-physics-stucture-preservation-in-scientific-machine-learning/
LOCATION:Amy Gutmann Hall\, Room 414\, 3333 Chestnut Street\, Philadelphia\, 19104\, United States
CATEGORIES:Seminar
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