Publication

PhysAgent: A Multi-Agent Approach to Automated Discovery of Physical Laws

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PhysAgent: A Multi-Agent Approach to Automated Discovery of Physical Laws 论文配图

Xiao-Qi Han, Ze-Feng Gao#, Peng-Jie Guo, Zhong-Yi Lu#

Arxiv, 2025

摘要

In this work, we introduce PhysAgent, a novel multi-agent system powered by large language models (LLMs), designed to autonomously execute end-to-end scientific workflows—from hypothesis generation and computational modeling to data analysis and discovery.