DikovAlexandr / PINN
PINN (Physics-Informed Neural Networks) for the 2D heat equation
☆10Updated 10 months ago
Alternatives and similar repositories for PINN:
Users that are interested in PINN are comparing it to the libraries listed below
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆14Updated 8 months ago
- This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing t…☆10Updated 10 months ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆36Updated 7 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆33Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆20Updated 5 months ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- DeepXDE and PINN☆108Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆66Updated 2 years ago
- ☆37Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆71Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆30Updated 2 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆36Updated last week
- PINN program for computational mechanics☆106Updated last year
- 复现CICP论文提出的几种改进PINN性能的方法☆19Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆79Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆17Updated 2 years ago
- ☆124Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆58Updated 3 years ago
- ☆18Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆25Updated last year
- Physics informed neural network (PINN) for the 1D Heat equation☆19Updated last year
- Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems☆37Updated 7 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated 10 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆29Updated 3 years ago
- multi-fidelity neural network☆18Updated last year
- Physics-informed deep learning for structural dynamics under moving load☆10Updated 6 months ago
- This Python script solves the Navier-Stokes equations using Physics-Informed Neural Network. This approach enables the modeling of fluid …☆13Updated last year
- Implementing a physics-informed DeepONet from scratch☆38Updated last year