MOOSEnger: A Simulation-Aware AI Agent Framework for the MOOSE Ecosystem

arXiv:2603.04756 · cs.AI, cs.CE, cs.SE · Submitted 2026-03-05 · Read on arXiv

cs.AI, cs.CE, cs.SE

Submitted: 2026-03-05

Updated: 2026-09-23

Terminology

• Core — 20× in this paper · explained in 2 episodes
• RAG — 15× in this paper · explained in 3 episodes
• Verification — 7× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Provenance — 6× in this paper · explained in 4 episodes
• Large Language Model — 4× in this paper
• Trace — 4× in this paper · explained in 2 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Model Context Protocol — 3× in this paper
• Hallucination — 2× in this paper · explained in 3 episodes
• High Performance Computing — 2× in this paper
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Model Context Protocol (MCP) — 2× in this paper · explained in 8 episodes
• Multiphysics Object-Oriented Simulation Environment — 2× in this paper
• AI Integration — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Agentic Coding — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Artificial Intelligence — 1× in this paper
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Command-Line Interface — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Domain Specific Language — 1× in this paper
• Generative AI — 1× in this paper · explained in 2 episodes
• Graphical User Interface — 1× in this paper
• Hierarchical Input Text — 1× in this paper
• Integrated Development Environment — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• MetaOpenFOAM: an LLM-based multi-agent framework for CFD
• Foam-Agent: A Large Language Model-Based Multi-Agent Framework for Automating Computational Fluid Dynamics Workflows
• AutoFLUKA: A Large Language Model Based Framework for Automating Monte Carlo Simulations in FLUKA
• MooseAgent: A LLM Based Multi-agent Framework for Automating Moose Simulation

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