Hannah-Zhou / Mathematics-ExperimentLinks
采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解
☆15Updated 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
Sorting:
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆19Updated 3 years ago
- Rheology-informed Machine Learning Projects☆21Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆71Updated 3 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆65Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆50Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- ☆40Updated 2 years ago
- ☆18Updated last year
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- POD-PINN code and manuscript☆55Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆101Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- ☆13Updated 3 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆18Updated last year
- ☆15Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- ☆54Updated 3 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆29Updated 2 years ago
- Competitive Physics Informed Networks☆31Updated last year