MooseAgent combines large language models with a multi-agent system to automate the Finite Element Method simulation workflow, reducing the need for specialized expertise.

• Transforms natural language requirements into executable MOOSE simulations
• Automates pre-processing, solver configuration, and post-processing stages
• Reduces time and expertise barriers for engineering simulations
• Enhances accessibility of multi-physics computational tools

This innovation significantly lowers the barrier to entry for complex engineering simulations, enabling more engineers to leverage advanced computational methods without specialized domain knowledge in simulation frameworks.

MooseAgent: A LLM Based Multi-agent Framework for Automating Moose Simulation