liuxu97531 / PINN_TFI-HSSLinks
The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks
☆37Updated 2 years ago
Alternatives and similar repositories for PINN_TFI-HSS
Users that are interested in PINN_TFI-HSS are comparing it to the libraries listed below
Sorting:
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆90Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆35Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆25Updated 7 months ago
- gPINN: Gradient-enhanced physics-informed neural networks☆93Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆75Updated last year
- DeepXDE and PINN☆121Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆82Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆152Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- ☆128Updated 2 years ago
- PINN in solving Navier–Stokes equation☆106Updated 5 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆39Updated 2 weeks ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- Basic implementation of physics-informed neural network with pytorch.☆71Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆145Updated last year
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated last month
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆70Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆47Updated 2 years ago
- ☆37Updated last year
- PINN program for computational mechanics☆116Updated last year
- This is the code of my master thesis.☆138Updated 3 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆236Updated 3 years ago
- ☆63Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Physics-guided Convolutional Neural Network☆67Updated 4 years ago