NguyenPhucVietKhoa
PhD Student in Computational Mechanics at UPHF(LAMIH) and ONERA, France
Lille, France
NguyenPhucVietKhoa's Stars
MinhNguyenIKM/multiscale-homogenization
Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The macroscopic BVPs are solved by FEM method (we use PyFEM framework based on the book Nonlinear Finite Element Analysis of Solids and Structures of Rene' de Borst et. al.)
meghbali/MultiScalePlasticity
Homogenization (Upscaling) framework for an REV with elastoplastic constituents
NathanMarch/Homogenization
MATLAB code for 2D homogenization problems
imcs-compsim/pinns_for_comp_mech
Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
FuzhenZhuang/Transfer-Learning-Toolkit
Transfer Learning Toolkit for Primary Researchers
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
idrl-lab/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
weili101/Deep_Plates
Physics-guided neural network framework for elastic plates
MinhNguyenIKM/parametric-deep-energy-method
sebastkm/hybrid-fem-nn-examples
JINGHU-UT/PINN-elasticity
lululxvi/hpinn
hPINN: Physics-informed neural networks with hard constraints
sciann/sciann-applications
A place to share problems solved with SciANN
filippo-masi/NICE
Neural integration for constitutive equations
heprom/cvml
Computer vision and machine learning for the material scientist
jwangjie/Gaussian-Process-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
Carlos-Muniz/Boston-Housing-Regression
A Pytorch Neural Network for predicting the Median Value of Homes via Regression using the UCI ML housing dataset
dynamicslab/databook_matlab
Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/