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Shaohan Chen

2 accepted papers

2026

MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation

ICLR 2026poster

Deep learning-based approaches, particularly graph neural networks (GNNs), have gained prominence in simulating flexible deformations and contacts of solids, due to their ability to handle unstructured physical fields and nonlinear regression on graph structures. However, existing GNNs commonly repr…

Cited by 0SourcecodeScholar
2026

Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction

ICLR 2026poster

Fluid-solid interaction (FSI) problems are fundamental in many scientific and engineering applications, yet effectively capturing the highly nonlinear two-way interactions remains a significant challenge. Most existing deep learning methods are limited to simplified one-way FSI scenarios, often assu…

Cited by 0SourcecodeScholar