mhy9989 / CFD-CNNLinks
A Flow Field Prediction Program & Multiple Spatio_temporal Attention (MSTA) Network & Multiple Fusion Attention (MFA) & Spatial Transform Gradient Sharpening (STGS) (based on OpenSTL & DeepSpeed)
☆13Updated 2 months ago
Alternatives and similar repositories for CFD-CNN
Users that are interested in CFD-CNN are comparing it to the libraries listed below
Sorting:
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 5 months ago
- Physics-informed deep super-resolution of spatiotemporal data☆48Updated 2 years ago
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆40Updated 2 years ago
- 本项目利用pytorch实现了一个简易的模块化DeepONet，凭此可以快速的实现一些简易的DeepONet。☆12Updated 5 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year
- ☆26Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆41Updated 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
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆75Updated 9 months ago
- Physics Informed Fourier Neural Operator☆24Updated last year
- ☆67Updated 3 years ago
- Physics-encoded recurrent convolutional neural network☆47Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆93Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆13Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆97Updated 2 years ago
- ☆65Updated 3 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆53Updated 2 years ago
- ☆65Updated last month
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆32Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆36Updated 3 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆105Updated 3 years ago
- DeepXDE and PINN☆140Updated 3 years ago
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆58Updated 8 months ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆50Updated 3 weeks ago
- Original implementation of fast PINN optimization with RBA weights☆68Updated 3 months ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆158Updated last year