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

Stage 3: Implementation

Neural Network Architecture

We use a simple feedforward network for the temperature field:

Training Function

The training process optimizes both the neural network weights \( \theta \) and the parameter \( \kappa \) simultaneously:

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