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cs.AI2024
SimBench: A Framework for Evaluating and Diagnosing LLM-Based Digital-Twin Generation for Multi-Physics Simulation
Jingquan Wang, Andrew Negrut, Hongyu Wang +2
We introduce SimBench, a benchmark designed to evaluate the proficiency of simulator-oriented LLMs (S-LLMs) in generating digital twins (DTs) that can be used in simulators for vir…
cs.CE2024★ 1 cited
MBD-NODE: Physics-informed data-driven modeling and simulation of constrained multibody systems
Jingquan Wang, Shu Wang, Huzaifa Mustafa Unjhawala +2
We describe a framework that can integrate prior physical information, e.g., the presence of kinematic constraints, to support data-driven simulation in multi-body dynamics. Unlike…