WenxSong / DNN_GSRLinks
Public Datasets and Codes for Data-driven discovery of soil moisture flow governing equation: A sparse regression framework. Water Resources Research.
☆11Updated 11 months ago
Alternatives and similar repositories for DNN_GSR
Users that are interested in DNN_GSR are comparing it to the libraries listed below
Sorting:
- The construction of TgNN surrogate☆15Updated 5 years ago
- Fourier neural operator for real-time simulation of 3D dynamic urban microclimate☆18Updated last year
- Physics-informed deep super-resolution of spatiotemporal data☆49Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆164Updated 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。☆15Updated 6 months ago
- Physics informed neural network for learning seepage flow models☆20Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆54Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆92Updated last year
- Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"☆12Updated 3 years ago
- This is the code for our paper '3D carbonate digital rock reconstruction using PG-GAN' submitted to JGR. The code is modified from the or…☆15Updated 5 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆39Updated 3 years ago
- DeepXDE and PINN☆149Updated 3 years ago
- Deep finite volume method☆21Updated last year
- ☆19Updated 4 years ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆80Updated 11 months ago
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆18Updated last year
- Physics-encoded recurrent convolutional neural network☆48Updated 4 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 3 years ago
- ☆10Updated 3 years ago
- CCSNet: a deep learning modeling suite for CO2 storage☆27Updated last year
- ☆69Updated 3 years ago
- ☆40Updated last year
- Physics-informed neural networks for the Richardson-Richards equation☆30Updated 5 years ago
- ☆56Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168Updated last year
- ☆10Updated 4 years ago
- PinnDE: A Python library for solving differential equations with physics informed neural networks and deep operator networks☆29Updated 5 months ago
- ☆68Updated 5 months ago
- Physics Informed Fourier Neural Operator☆29Updated last year