EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.
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Updated
Dec 7, 2022 - MATLAB
EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.
Code of "Model-based holographic network for 3D particle imaging", IEEE Transactions on Computational Imaging, 2021.
This work proposes a hierarchically normalized physics-informed neural network (hnPINN) to solve PDE problems.
In this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite element method (FEM) for parametric simulation of static problems in structural mechanics.
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