Guangde Zhou's repositories
Discover-PINNs-Model
This repository contains the code for the paper: Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation, Swarm and Evolutionary Computation, 2024.
neuraloperator
Learning in infinite dimension with neural operators.
mdpi-algorithms-2023
Development and Implementation of an ANN based flow law for Numerical Simulations Thermo-mechanical Processes at High Temperatures in FEM Software
AL-PINNs
Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks
PhysicsInformedShellStructures
Code for 'Physics-Informed Neural Networks for Shell Structures'
dem_hyperelasticity
A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on the idea of minimum potential energy. The method is named "Deep Energy Method".
SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
fenics-topopt
Topology optimization with finite element analysis in FEniCS. Final project for CSCI-GA.2420: Numerical Methods II at New York University.
pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400