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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240729T110500
DTEND;TZID=America/Denver:20240729T111500
UID:siggraph_SIGGRAPH 2024_sess103_papers_569@linklings.com
SUMMARY:Neural Monte Carlo Fluid Simulation
DESCRIPTION:Pranav Jain (University of Southern California); Ziyin Qu (Uni
 versity of Pennsylvania); Peter Yichen Chen (Computer Science and Artifici
 al Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology 
 (MIT)); and Oded Stein (University of Southern California)\n\nWe present a
  novel neural network representation for fluid simulation that augments ne
 ural 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.\n\nInterest Area: Research & Education\n\nR
 ecording: Livestreamed, Recorded\n\nKeyword: Animation, Machine Learning, 
 Rendering\n\nRegistration Category: Full Conference, Full Conference Suppo
 rter, Virtual Access, Exhibitor Full Conference, Monday\n\nSession Chair: 
 David Levin (University of Toronto, NVIDIA)\n\n
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