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MULTIFID-TH — multifidelity surrogates for thermal-hydraulics. High-fidelity MOOSE simulations inform low-fidelity ML surrogates through a single generic training core.
MULTIFID-TH
MULTIFID-TH

Overview

  • Architecture

Guides

  • User Guide
    • Getting Started
    • Running MOOSE Simulations
    • Alpha-D Surrogate: Axial-Profile MLP Tutorial
    • Hyperparameter Optimization
    • Case Distribution Analysis
  • Cases
    • MOOSE Grid Case
    • Alpha-D Case
    • Case Pressure-Drop Surrogate

Reference

  • Developer Guide
    • ETL Pipeline
    • MOOSEDataset API
    • FNO Training and Evaluation
    • Alpha-D Surrogate → MOOSE PINSFV Coupling: Physics Reference
    • Code style and pre-commit
    • Building the documentation
  • API Reference
    • training
    • cases
    • feature_selection
    • dataset
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User Guide¶

Task-oriented walkthroughs aimed at people running the pipeline rather than modifying it. Start with Getting Started for container setup and bind-mount troubleshooting, then pick the surrogate you want to reproduce.

  • Getting Started
  • Running MOOSE Simulations
  • Alpha-D Surrogate: Axial-Profile MLP Tutorial
  • Hyperparameter Optimization
  • Case Distribution Analysis
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Getting Started
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Architecture
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