liuxu97531 / PINN_TFI-HSSLinks
The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks
☆41Updated 3 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.☆98Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆95Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- DeepXDE and PINN☆145Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆69Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆167Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Updated 3 years ago
- ☆68Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆60Updated 5 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆51Updated last month
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 6 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆23Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆28Updated 11 months ago
- physics-informed neural network for elastodynamics problem☆153Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆83Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆185Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆59Updated last year
- PINN in solving Navier–Stokes equation☆122Updated 5 years ago
- ☆164Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Updated 4 months ago
- Physics-informed learning of governing equations from scarce data☆167Updated 2 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆23Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago