AutoMOOSE: Use Case and Logical Views of Agentic Phase-Field Simulation Software

2026-08-20

AI Summary

研究解决了将自然语言请求转化为MOOSE相场仿真问题，通过AutoMOOSE软件框架实现，该框架包括用户角色、组件结构等，并注重设计的可扩展性和互操作性。

Abstract

AutoMOOSE is an agentic software framework that converts a natural-language request into an executed, screened, and interpreted MOOSE phase-field simulation. Here, we deploy AutoMOOSE as a agentic software, complementing our prior work which focused on development of the agentic tool. We describe our software framework and architecture through Use Case and logical views of the 1+5 architectural-views model, covering its user roles, component structure, six-agent pipeline, physics plugin layer, Model Context Protocol interface, and screening/falsification/recovery loop. Our architecture separates physical falsification from automatic repair, so corrected simulations remain inspectable and must be re-admitted before acceptance. We focus on software design, extensibility, interoperability, and reuse of the AutoMoose framework for broad utilization in multiphysics materials design problems.

Problem

• agentic software
• natural-language request
• phase-field simulation
• software framework
• interoperability

Innovation

• agentic software
• phase-field simulation
• natural-language request
• Model Context Protocol
• falsification and recovery