amir-cardiolab / BL-PINNLinks
Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation
☆18Updated 2 years ago
Alternatives and similar repositories for BL-PINN
Users that are interested in BL-PINN are comparing it to the libraries listed below
Sorting:
- Yet another PINN implementation☆20Updated last year
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆18Updated last year
- POD-PINN code and manuscript☆51Updated 7 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- ☆38Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆21Updated 4 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 5 months ago
- Multifidelity DeepONet☆33Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 4 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆31Updated 4 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- ☆17Updated 8 months ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago