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

The Key Experiment: Width vs Approximation Quality

Hypothesis: More neurons → better approximation (Universal Approximation Theorem)

Test: Train networks with 5, 10, 20, 50 neurons and measure performance

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CVW material development is supported by NSF OAC awards 1854828, 2321040, 2323116 (UT Austin) and 2005506 (Indiana University)