nimahsn / pinns_tf2
Yet another PINN implementation
☆19Updated 6 months ago
Alternatives and similar repositories for pinns_tf2:
Users that are interested in pinns_tf2 are comparing it to the libraries listed below
- POD-PINN code and manuscript☆47Updated 2 months ago
- XPINN code written in TensorFlow 2☆27Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆22Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 8 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆20Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- Multifidelity DeepONet☆27Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆16Updated 2 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆14Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆17Updated last month
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆27Updated 2 years ago
- ☆33Updated 2 years ago
- ☆16Updated 10 months ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆16Updated last year
- Tensoflow 2 implementation of physics informed deep learning.☆26Updated 4 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆29Updated 6 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆23Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated this week
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆23Updated last year
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆16Updated last year
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆27Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆19Updated last year
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆61Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year