Presentation
Neural Monte Carlo Fluid Simulation
SessionMonte Carlo for PDEs
DescriptionWe present a novel neural network representation for fluid simulation that augments neural fields with explicitly enforced boundary conditions and a Monte Carlo pressure solver to eliminate all weakly enforced boundary conditions. Our method is mesh-free and can accurately represent vorticity phenomena like the von Kármán vortex street.
Event Type
Technical Paper
TimeMonday, 29 July 202411:05am - 11:15am MDT
LocationMile High 4
ACM Digital Library
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Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Monday, 29 July 202410:45am - 12:15pm MDTMile High 4
Research & Education
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Machine Learning
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