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08/18/2023
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
Backward propagation (BP) is widely used to compute the gradients in neu...
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02/25/2023
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design
Thermal issue is a major concern in 3D integrated circuit (IC) design. T...
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02/23/2023
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks
Objective: In this paper, we introduce Physics-Informed Fourier Networks...
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10/23/2022
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks
Electrical properties (EP), namely permittivity and electric conductivit...
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07/04/2022
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
Physics-informed neural networks (PINNs) have been increasingly employed...
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07/28/2020