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02/03/2023
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry
We present a novel loss formulation for efficient learning of complex dy...
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12/15/2022
Neuroevolution Surpasses Stochastic Gradient Descent for Physics-Informed Neural Networks
The potential of learned models for fundamental scientific research and ...
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10/29/2021
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method
In this study, novel physics-informed neural network (PINN) methods for ...
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09/20/2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks
A physics-informed neural network (PINN) uses physics-augmented loss fun...
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05/05/2021