AI RESEARCH

Unified Simulation of Lagrangian Particle Dynamics via Transformer

arXiv CS.LG

ArXi:2605.15305v1 Announce Type: cross A unified simulator that can model diverse physical phenomena without solver-specific redesign is a long-standing goal across simulation science. We present a learning-based particle simulator built on a single transformer architecture to model cloth, elastic solds, Newtonian and non-Newtonian fluids, granular materials, and molecular dynamics. Our model follows a prediction-correction design on a shared Lagrangian particle representation.