A single-layer PINN using the trainable Cauchy activation function matches or beats larger multi-layer PINN baselines on smooth analytic PDE benchmarks.
Physics-informed neural networks for inverse problems in nano-optics and metamaterials
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Complex Physics-Informed Neural Network
A single-layer PINN using the trainable Cauchy activation function matches or beats larger multi-layer PINN baselines on smooth analytic PDE benchmarks.