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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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11/24/2022
Design of Turing Systems with Physics-Informed Neural Networks
Reaction-diffusion (Turing) systems are fundamental to the formation of ...
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11/22/2022
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data
Physics-Informed Neural Networks (PINNs) have been shown to be an effect...
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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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05/11/2021
U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels
Microfluidics have shown great promise in multiple applications, especia...
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05/05/2021
