Multi-Layer Perceptron
Physics-Informed Neural Networks (PINNs)
DeepONet: Operator Learning with Neural Networks
Differentiable Simulation
Graph Neural Network
Lab Setup

Model Evaluation and Physics Verification

Comprehensive Testing

  1. Prediction Accuracy: How well does the model predict solutions?
  2. Physics Consistency: Does the model satisfy the PDE?
  3. Boundary Conditions: Are boundary conditions satisfied?
  4. Generalization: Performance on unseen data
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CVW material development is supported by NSF OAC awards 1854828, 2321040, 2323116 (UT Austin) and 2005506 (Indiana University)