Hannah-Zhou / Mathematics-Experiment
采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解
☆12Updated 4 years ago
Alternatives and similar repositories for Mathematics-Experiment:
Users that are interested in Mathematics-Experiment are comparing it to the libraries listed below
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆29Updated 3 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆18Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆25Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Deep finite volume method☆21Updated 10 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 2 years ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆14Updated 3 years ago
- 这是一个基于 Python 有限元理论，算法与应用的仓库☆13Updated 5 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Multifidelity DeepONet☆31Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆18Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- POD-PINN code and manuscript☆51Updated 5 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆30Updated 2 years ago
- ☆13Updated 4 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆24Updated 3 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆19Updated 4 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆15Updated last year
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- ☆28Updated 2 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆38Updated 5 months ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆30Updated 2 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆17Updated 2 years ago