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DesignSafe AI Training

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

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By Krishna Kumar, Kooshan Amini, and Jamie Ellen Padgett

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