xiaoyuxie-vico / Sci-ML-Book
☆18Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for Sci-ML-Book
- ☆94Updated 4 months ago
- ☆52Updated 2 years ago
- ☆40Updated last year
- ☆28Updated last year
- ☆84Updated last month
- Non-adaptive and residual-based adaptive sampling for PINNs☆58Updated 2 years ago
- ☆14Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆107Updated 7 months ago
- physics-informed neural network for elastodynamics problem☆119Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆105Updated 2 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆48Updated 3 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- Applications of PINOs☆109Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆32Updated 6 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- DeepONet extrapolation☆24Updated last year
- ☆10Updated 2 years ago
- ☆11Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆58Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆134Updated last month
- MIONet: Learning multiple-input operators via tensor product☆27Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆34Updated last year
- PINN in solving Navier–Stokes equation☆80Updated 4 years ago
- PDE Preserved Neural Network☆33Updated 4 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆19Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆131Updated 2 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆76Updated 2 years ago
- ☆146Updated 9 months ago
- Physics-encoded recurrent convolutional neural network☆41Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆55Updated 7 months ago