MeshGraphNet-Transformer: Scalable Mesh-based Learned Simulation for Solid Mechanics
cs.LG
Submitted: 2026-01-30
Updated: 2026-09-25
Terminology
Sources
- Message Passing Neural PDE Solvers
- Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework
- A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components
- Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN
- Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
- Transolver: A Fast Transformer Solver for PDEs on General Geometries
- AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
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