Year: 2026
Type: preprint
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.
Source: arXiv (Cornell University)
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Awards: G102163711, G107546177, G122673668, G1286236842, G1286251239, G1313983767, G1664757510, G1677143136, G2287611682, G2618837358, G262962599, G2638771445, G2710870262, G30714459, G3075337988, G3083819904, G419881185, G426311843, G42916606, G4501827968, G498139845, G5076365615, G5387317844, G650090426, G6652958823, G6848031779, G6918803902, G7583137537, G969889393, G993149817
OpenAlex ID: W7204140466