xristosl0610 / PhI-SINDy
Physics Informed Sparse Identification of Nonlinear Dynamics
☆9Updated 2 months ago
Alternatives and similar repositories for PhI-SINDy:
Users that are interested in PhI-SINDy are comparing it to the libraries listed below
- SINDy-SA Framework: Enhancing nonlinear system identification with sensitivity analysis☆11Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆19Updated 4 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆14Updated 11 months ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 months ago
- Multi-fidelity regression with neural networks☆11Updated 4 months ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆12Updated 3 months ago
- ☆12Updated 2 weeks ago
- ☆9Updated last year
- ☆14Updated 3 years ago
- ☆12Updated this week
- ☆11Updated 11 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆12Updated 10 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆30Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 9 months ago
- implementation of physics-informed variational auto-encoder☆13Updated last year
- python library for querying the Johns Hopkins Turbulence Database (JHTDB)☆13Updated last week
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- ☆9Updated last week
- Yet another PINN implementation☆20Updated 9 months ago
- ☆18Updated last year
- ☆14Updated 5 months ago
- PDE Preserved Neural Network☆46Updated 8 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆20Updated last year
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆19Updated 2 weeks ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- ☆16Updated 2 weeks ago