qzhe-mechanics / DataAssi-transportLinks
☆14Updated 4 years ago
Alternatives and similar repositories for DataAssi-transport
Users that are interested in DataAssi-transport are comparing it to the libraries listed below
Sorting:
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- DeepGreen network written in Tensorflow 2☆30Updated 4 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆21Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆19Updated 2 years ago
- Yet another PINN implementation☆20Updated last year
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- ☆76Updated 10 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Physics informed neural network for learning seepage flow models☆18Updated 2 years ago
- ☆19Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆67Updated 4 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 3 months ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆94Updated 6 years ago
- ☆41Updated 3 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 5 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆61Updated 3 months ago