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X-ORIGINAL-URL:https://mecheng.iisc.ac.in/
X-WR-CALNAME:Mechanical
X-WR-CALDESC:IISc
REFRESH-INTERVAL;VALUE=DURATION:PT1H
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BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-6534a8436e907efb0ced99edd8d02435@mecheng.iisc.ac.in
DTSTART:20220718T160000Z
DTEND:20220718T173000Z
DTSTAMP:20220715T111200Z
CREATED:20220715
LAST-MODIFIED:20220715
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:ME Talk
DESCRIPTION:“Physics-informed neural networks to solve PDEs” \nVenue: July 18, 2022, 4:00 PM, A. R. Auditorium, ME @ IISc\nSpeaker: Dr. Sukumar. N, Civil & Environmental Engineering, University of California, Davis\nABSTRACT\nMain emphasis will be on introducing physics-informed neural networks (PINNs) and a new approach to exactly impose boundary conditions in PINNs to solve PDEs. First, I will complete what was leftover from the previous lecture – will present numerical results on how virtual element technology can be used to increase the critical time step in linear elastodynamic simulations on poorly-shaped tetrahedral meshes\n
URL:https://mecheng.iisc.ac.in/events/me-talk/
CATEGORIES:Events
LOCATION:Mechanical Engineering Department, IISc
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