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Lava Localization Simulation Based on the Wax

ํƒœ๊ทธ
Pulications
MPM
OpenMP
Houdini
C++
๐Ÿ‘ฅ Authors
Chang-Yong Song, David Hyde
๐Ÿข Venue
Target for ACM SIGGRAPH Asia 2027
๐Ÿ“„ Status
In-Preperation
๐Ÿง  Keywords
MPM, Computational Physics, Computer Graphics, GenAI

Describe Lavaโ€™s localization with wax

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Use Numeric Animation for Real Data in Gen AI
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Heat conduction: implementation complete, validated against benchmark scenarios.
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Heat convection: implementation complete, integrated with conduction for coupled heat transfer modeling.
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Phase change dynamics: solidโ€“liquid transitions modeled, including latent heat effects.
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Target setup: experiments in thin domains, where geometric constraints amplify local phenomena.
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Localization analysis: leveraging High-Youngโ€™s modulus modeling to sharpen stress/strain concentration effects.
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Preconditioning techniques applied to stabilize and accelerate solvers, especially under strong stiffness contrasts.
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Observation goal: capture emergent patterns of localization during phase transitions in constrained geometries, and evaluate physical plausibility of the numeric animation framework with real-world data alignment.