GAOHaoxiang95 / Summer-research
暑期研究:神经网络解偏微分方程(Neural networks for solving differential equations)
☆12Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Summer-research
- ☆23Updated 5 years ago
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆41Updated 6 years ago
- FEM Tutorial for Beginners☆31Updated 6 years ago
- 采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解☆11Updated 3 years ago
- 有限元二维功能梯度热传导研究,基于分离变量法,推导出2D-FGM板的稳态温度场的级数解析解;基于加权余量法推导出2D-FGM板的稳态温度场的有限元法基本方程;通过MATLAB软件编写了稳态温度场有限元计算程序,通过数值计算,得到研究模型的温度场分布规律;将有限元解与解析解的…☆23Updated 6 years ago
- Numerical schemes for the Cahn-Hilliard equation.☆16Updated 7 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆50Updated 4 years ago
- the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods☆14Updated 5 years ago
- PINN, DGM and DRM☆19Updated last year
- 有限元方法的 matlab 实现,为了追求清晰通用,将会大大牺牲程序的效率。☆50Updated 6 months ago
- ☆59Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆44Updated 2 years ago
- Numerical analysis toolbox, including interpolation, fitting, numerical integration, iterative solution of linear/nonlinear equations, so…☆51Updated 4 years ago
- ☆41Updated last year
- codes for PINNs☆11Updated 3 years ago
- 用于求解偏微分方程的有限元程序(1&2D finite element codes used to solve PDE)☆12Updated 5 years ago
- MATLAB Programming for Finite Element Methods☆50Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆46Updated 3 years ago
- Symbolic genetic algorithm for discovering open-form partial differential equations☆34Updated 2 years ago
- Tutorial on a number of topics in Deep Learning☆34Updated 4 years ago
- Dynamic Mode Decomposition (DMD)☆30Updated 2 years ago
- STONEHENGE is an ensemble of Matlab and C++ codes for nonlinear dynamic analysis of vibration energy harvesting systems.☆16Updated 3 months ago
- 这是一个基于 Python 有限元理论,算法与应用的仓库☆12Updated 5 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆78Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆25Updated 3 years ago
- ☆29Updated 2 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆162Updated 2 years ago
- Assignments of Finite Differences Method Lesson in NWPU☆16Updated 3 years ago
- Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, …☆112Updated 5 years ago