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BEGIN:VEVENT
DTSTAMP:20250522T212739Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_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: Arts & Design, Production
  & Animation, Research & Education\n\nRecording: Livestreamed, Recorded\n\
 nRegistration Category: Full Conference, Full Conference Supporter, Virtua
 l Access, Experience, Exhibitor Full Conference, Exhibitor Experience, Sun
 day\n\n
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