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)
☆12Updated 2 weeks ago
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…☆34Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆47Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆38Updated 3 years ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆31Updated 2 years ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆63Updated 7 months ago
- ☆26Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆156Updated last year
- 复现CICP论文提出的几种改进PINN性能的方法☆23Updated 3 months ago
- Physics Informed Fourier Neural Operator☆23Updated 10 months ago
- ☆64Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆12Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years 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 …☆26Updated 2 years ago
- ☆60Updated last month
- Physics-guided Convolutional Neural Network☆68Updated 4 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆44Updated 3 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆22Updated 3 years ago
- DeepXDE and PINN☆128Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- This is the code of my master thesis.☆147Updated 5 months ago
- Reduced-order Variational Mode Decomposition (RVMD)☆28Updated 7 months ago
- ☆158Updated 11 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆50Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 5 months ago
- ☆44Updated this week
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆84Updated last year