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Neural Kinematic Bases for Fluids

Yibo Liu, Zhixin Fang, Sune Darkner, Noam Aigerman, Kenny Erleben, Paul Kry, Teseo Schneider We propose mesh-free fluid simulations that exploit a kinematic neural basis for velocity fields represented by an MLP. We design a set of losses that ensures … Continue reading

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Precise Gradient Discontinuities in Neural Fields for Subspace Physics

Mengfei Liu, Yue Chang, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun We introduce a neural field construction that captures gradient discontinuities without baking their location into the network weights. By augmenting input coordinates with a smoothly clamped distance function in … Continue reading

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Implicit Bonded Discrete Element Method with Manifold Optimization

Jia-Ming Lu, Geng-Chen Cao, Chenfeng Li, Shi-Min Hu This paper proposes a novel simulation approach that combines implicit integration with the Bonded Discrete Element Method (BDEM) to achieve faster, more stable and more accurate fracture simulation. The new method leverages … Continue reading

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Eurographics 2026

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SIGGRAPH North America 2026

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Fast Galerkin Multigrid Method for Unstructured Meshes

Jia-Ming Lu, Tailing Yuan, Zhe-Han Mo, Shi-Min Hu This research presents an efficient multigrid solver for deformable body simulations on unstructured tetrahedral meshes. The method combines the Full Approximation Scheme with Galerkin formulation and introduces a matrix-free vertex block Jacobi … Continue reading

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Reliable Iterative Dynamics: A Versatile Method for Fast and Robust Simulation

Jia-Ming Lu, Shi-Min Hu Simulating stiff materials has long posed formidable challenges for traditional physics-based solvers. Explicit time integration schemes demand prohibitively small time steps, while implicit methods necessitate an excessive number of iterations to converge, often yielding visually objectionable … Continue reading

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Implicit Position-Based Fluids

Elie Diaz, Jerry Hsu, Eisen Montalvo-Ruiz, Chris Giles, Cem Yuksel The efficient simulation of incompressible fluids remains a difficult and open problem. Prior works often make various tradeoffs between incompressibility, stability, and cost. Yet, it is rare to obtain all … Continue reading

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A Stack-Free Parallel ℎ-Adaptation Algorithm for Dynamically Balanced Trees on GPUs

Lixin Ren, Xiaowei He, Shusen Liu, Yuzhong Guo, Enhua Wu Prior research has demonstrated the efficacy of balanced trees as spatially adaptive grids for large-scale simulations. However, state-of-the-art methods for balanced tree construction are restricted by the iterative nature of … Continue reading

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Viscous Vortex Dynamics on Surfaces

Cuncheng Zhu, Hang Yin, Albert Chern We present a vorticity method for simulating incompressible viscous flows on curved surfaces governed by the Navier–Stokes equations. Unlike previous approaches, our formulation incorporates the often-overlooked Gaussian-curvature-dependent term in the viscous force, which influences … Continue reading

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