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 last month
Alternatives and similar repositories for CFD-CNN
Users that are interested in CFD-CNN are comparing it to the libraries listed below
Sorting:
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆39Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆48Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year
- 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 4 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- ☆26Updated 3 years ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆66Updated 8 months ago
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 4 months ago
- ☆64Updated 2 years ago
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆12Updated 2 years ago
- Reduced-order Variational Mode Decomposition (RVMD)☆27Updated 8 months ago
- ☆62Updated 2 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆96Updated 2 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- 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…☆27Updated 5 months ago
- Physics-encoded recurrent convolutional neural network☆46Updated 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
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆39Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆52Updated 2 years ago
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆52Updated 7 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- This is the code of my master thesis.☆162Updated 7 months ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆22Updated 7 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆22Updated 3 years ago
- Physics Informed Fourier Neural Operator☆23Updated 11 months ago
- ☆61Updated 3 weeks ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆49Updated 4 months ago
- PDE Preserved Neural Network☆58Updated 5 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆91Updated 3 years ago