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Data-driven surrogates

  • 1. Regression on HPC
    • Variant: as a DAG workflow (optional)
  • 2. Multi-Layer Perceptrons
    • Automatic differentiation and gradient descent
  • 3. Explainable AI

Physics-driven models

  • 4. Physics-Informed Neural Networks
    • B. The 1D Poisson equation
    • C. The cantilever beam
  • 5. Operator Learning with DeepONet
    • B. The cantilever operator

Applied at scale

  • 6. Computer Vision at Scale
  • Repository
  • Open issue

Index

By Krishna Kumar, Kooshan Amini, and Jamie Ellen Padgett

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