1 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
FNODE: Flow-Matching for data-driven simulation of constrained multibody systems
Hongyu Wang, Jingquan Wang, Dan Negrut
Data-driven modeling of constrained multibody dynamics remains challenged by (i) the training cost of Neural ODEs, which typically require backpropagation through an ODE solver, an…
ChronoLLM: Customizing Language Models for Physics-Based Simulation Code Generation
Jingquan Wang, Andrew Negrut, Harry Zhang +5
This contribution is concerned with the following issue: can pretrained large language models (LLMs) be refined and customized to the point where they become virtual assistants hel…
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono
Jingquan Wang, Harry Zhang, Khailanii Slaton +4
Recently, the integration of advanced simulation technologies with artificial intelligence (AI) is revolutionizing science and engineering research. ChronoLlama introduces a novel…