DOE · DOE-661 · record R3518

MOOSE-LLM

Department of Energy · NE INL - NE Idaho National Laboratory (NE)

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Focusing on the application of generative AI on modeling and simulation tasks
Start date: 2025-08-26 (day precision)Source: 2025-08-26T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Energy and the Environment
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Tools like MOOSE for multiphysics modeling have a steep learning curve. They demand considerable domain-specific knowledge, which makes it hard for newcomers to get started.

Expected benefits

Improves user experience and reduces training time by enabling natural language assistance within the MOOSE simulation framework.

System outputs

Improved documentation, inputfile completion, convergence analysis

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Yes
Public source code: hpcgitlab.hpc.inl.gov ↗

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Open source
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: This use case uses open source code documentation, open source large language models and retrivial argurment generation to build a MOOSE modeling and simulation AI assistant
Federal Data Catalog: yes

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

MOOSENger saves times, reduces errors while building MOOSE multiphysics model, streamline the modeling and simulation workflow