BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_416@linklings.com
SUMMARY:Curl-Flow: Boundary-Respecting Pointwise Incompressible Velocity I
 nterpolation for Grid-Based Fluids
DESCRIPTION:Technical Papers\n\nCurl-Flow: Boundary-Respecting Pointwise I
 ncompressible Velocity Interpolation for Grid-Based Fluids\n\nChang, Parto
 no, Azevedo, Batty\n\nWe propose to augment standard grid-based fluid solv
 ers with pointwise divergence-free velocity interpolation, thereby ensurin
 g exact incompressibility down to the sub-cell level. Our method takes as 
 input a discretely divergence-free velocity field generated by a staggered
  grid pressure projection, and first recovers a corresponding discrete vec
 tor potential. Instead of solving a costly vector Poisson problem for the 
 potential, we develop a fast parallel sweeping strategy to find a candidat
 e potential and apply a gauge transformation to enforce the Coulomb gauge 
 condition and thereby make it numerically smooth. Interpolating this discr
 ete potential generates a pointwise vector potential whose analytical curl
  is a pointwise incompressible velocity field. Our method further supports
  irregular solid geometry through the use of level set-based cut-cells and
  a novel Curl-Noise-inspired potential ramping procedure that simultaneous
 ly offers strictly non-penetrating velocities and incompressibility. Exper
 imental comparisons demonstrate that our vector potential reconstruction p
 rocedure is consistently faster than prior methods, especially those that 
 solve vector Poisson problems. Moreover, in exchange for its modest extra 
 cost, our overall Curl-Flow framework produces significantly improved part
 icle trajectories that closely respect irregular obstacles, do not suffer 
 from spurious sources or sinks, and yield superior particle distributions 
 over time.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, 
 EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERS
 ON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_416&sess=sess15
 3
END:VEVENT
END:VCALENDAR