5 papers
Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
Ran Xu, Yupeng Qi, Jingsen Feng +1
In modern engineering practice, human engineers collaborate in specialized teams to design complex products, with each expert completing their respective tasks while communicating…
FeaGPT: an End-to-End agentic-AI for Finite Element Analysis
Yupeng Qi, Ran Xu, Xu Chu
Large language models (LLMs) are establishing new paradigms for engineering applications by enabling natural language control of complex computational workflows. This paper introdu…
OpenFOAMGPT 2.0: end-to-end, trustworthy automation for computational fluid dynamics
Jingsen Feng, Ran Xu, Xu Chu
We propose the first multi agent framework for computational fluid dynamics that enables fully automated, end to end simulations directly from natural language queries. The approac…
A Status Quo Investigation of Large Language Models towards Cost-Effective CFD Automation with OpenFOAMGPT: ChatGPT vs. Qwen vs. Deepseek
Wenkang Wang, Ran Xu, Jingsen Feng +2
We evaluated the performance of OpenFOAMGPT incorporating multiple large-language models. Some of the present models efficiently manage different CFD tasks such as adjusting bounda…
OpenFOAMGPT: a RAG-Augmented LLM Agent for OpenFOAM-Based Computational Fluid Dynamics
Sandeep Pandey, Ran Xu, Wenkang Wang +1
This work presents a large language model (LLM)-based agent OpenFOAMGPT tailored for OpenFOAM-centric computational fluid dynamics (CFD) simulations, leveraging two foundation mode…