BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260417T190117Z LOCATION:West Building\, Rooms 220-222 DTSTART;TZID=America/Los_Angeles:20250813T090000 DTEND;TZID=America/Los_Angeles:20250813T103000 UID:siggraph_SIGGRAPH 2025_sess145@linklings.com SUMMARY:Flow, Flow, Flow Your Boat DESCRIPTION:Fluid Simulation on Vortex Particle Flow Maps\n\nWe present th e Vortex Particle Flow Map (VPFM) method, which revitalizes the traditiona l Vortex-In-Cell approach for computer graphics. By evolving vorticity and higher-order quantities along particle flow maps, our method achieves sig nificantly improved long-term stability and vorticity preservatio...\n\n\n Sinan Wang (Georgia Institute of Technology); Junwei Zhou (University of M ichigan Ann Arbor, Purdue University); Fan Feng (Dartmouth College); and Z hiqi Li, Yuchen Sun, Duowen Chen, Greg Turk, and Bo Zhu (Georgia Institute of Technology)\n---------------------\nLeapfrog Flow Maps for Real-Time F luid Simulation\n\nWe present Leapfrog Flow Maps (LFM), a fast hybrid velo city-impulse scheme with leapfrog integration. The computations are furthe r accelerated by a matrix-free AMGPCG solver optimized for GPUs. As a resu lt, LFM achieves high performance and fidelity across diverse examples, in cluding fireballs and w...\n\n\nYuchen Sun, Junlin Li, Ruicheng Wang, Sina n Wang, and Zhiqi Li (Georgia Institute of Technology); Bart G. van Bloeme n Waanders (Sandia National Laboratories); and Bo Zhu (Georgia Institute o f Technology)\n---------------------\nEDGE: Epsilon-Difference Gradient Ev olution for Buffer-Free Flow Maps\n\nThis paper presents Epsilon Differenc e Gradient Evolution (EDGE), a novel method for accurate flow-map computat ion on grids without velocity buffers. EDGE enables large-scale, efficient and high-fidelity fluid simulations that capture and preserve complex vor ticity structures while significantly red...\n\n\nZhiqi Li, Ruicheng Wang, Junlin Li, Duowen Chen, Sinan Wang, and Bo Zhu (Georgia Institute of Tech nology)\n---------------------\nClebsch Gauge Fluid on Particle Flow Maps\ n\nWe present a Clebsch PFM fluid solver that accurately transports wave f unctions using particle flow maps. Key innovations include a new gauge tra nsformation, improved velocity reconstruction on coarse grids, and better fine-scale structure preservation. Benchmarks show superior performance ov er impu...\n\n\nZhiqi Li, Candong Lin, Duowen Chen, and Xinyi Zhou (Georgi a Institute of Technology); Shiying Xiong (Zhejiang University); and Bo Zh u (Georgia Institute of Technology)\n---------------------\nFlow, Flow, Fl ow Your Boat - Interactive Discussion\n\nAfter the summary presentations, attendees will participate in an interactive discussion. Outside the room will be a series of poster boards for authors to gather around with the au dience. Authors are invited to bring any material related to their paper t hat could instigate further conversation such...\n\n---------------------\ nFluid Simulation on Compressible Flow Maps\n\nWe present a unified compre ssible flow map framework based on Lagrangian path integrals, enabling con servative density-energy transport and flexible pressure treatments. Valid ated on diverse systems—from shocks to shallow water—it captures complex f low features like vortices and wave int...\n\n\nDuowen Chen and Zhiqi Li ( Georgia Institute of Technology); Taiyuan Zhang and Jinjin He (Dartmouth C ollege); Junwei Zhou (University of Michigan, Purdue University); Bart G. van Bloemen Waanders (Sandia National Laboratories); and Bo Zhu (Georgia I nstitute of Technology)\n---------------------\nCirrus: Adaptive Hybrid Pa rticle-Grid Flow Maps on GPU\n\nWe introduce an adaptive octree-based GPU simulator for large-scale fluid simulation. Our hybrid particle-grid flow map advection scheme effectively preserves vortex details, enabling high-r esolution and high-quality results. The source code has been made publicly available at: https://wang-mengdi.g...\n\n\nMengdi Wang (Georgia Institut e of Technology), Fan Feng (Dartmouth College), and Junlin Li and Bo Zhu ( Georgia Institute of Technology)\n\nInterest Area: Research & Education\n\ nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegi stration Category: Full Conference, Virtual Access, Wednesday\n\nSession C hair: Albert Chern (University of California San Diego) END:VEVENT END:VCALENDAR