Reproduce the first two numerical experiments(Pytorch)
☆26Jul 30, 2020Updated 5 years ago
Alternatives and similar repositories for Deep-Ritz-Method
Users that are interested in Deep-Ritz-Method are comparing it to the libraries listed below
Sorting:
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆47Jul 2, 2018Updated 7 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆62Jun 4, 2020Updated 5 years ago
- ☆16Oct 29, 2023Updated 2 years ago
- Variational Physics-Informed Neural Networks For the Helmholtz Impedance Problem☆10Sep 25, 2023Updated 2 years ago
- ☆15Jul 3, 2023Updated 2 years ago
- PINN, DGM and DRM☆20Jul 3, 2023Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Jul 30, 2020Updated 5 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆34Apr 15, 2023Updated 2 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 6 months ago
- ☆11Apr 2, 2021Updated 4 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆40Jul 17, 2025Updated 8 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 3 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated last year
- We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.☆11Jun 23, 2022Updated 3 years ago
- ☆17Apr 2, 2023Updated 2 years ago
- ☆31Oct 6, 2022Updated 3 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated last year
- MATLAB code for pricing financial derivatives. Uses finite-difference methods to solve a modified version of the Black Scholes equation. …☆12Jun 11, 2018Updated 7 years ago
- Deep finite volume method☆21Jun 26, 2024Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆23Aug 3, 2023Updated 2 years ago
- ☆11Apr 7, 2024Updated last year
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆39Nov 20, 2024Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆15May 14, 2024Updated last year
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Aug 8, 2022Updated 3 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- Machine Learning Methods for Magnetic Modeling☆12Jul 25, 2024Updated last year
- ☆20May 4, 2021Updated 4 years ago
- A finite element method implementation in Matlab to solve the Gray-Scott reaction-diffusion equation on the surface of a sphere.☆17Mar 23, 2023Updated 2 years ago
- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Functi…☆239Jan 28, 2024Updated 2 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆18Sep 6, 2023Updated 2 years ago
- 我的学习笔记☆13Jun 27, 2021Updated 4 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 5 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"