xristosl0610 / PhI-SINDyLinks
Physics Informed Sparse Identification of Nonlinear Dynamics
☆12Updated 11 months ago
Alternatives and similar repositories for PhI-SINDy
Users that are interested in PhI-SINDy are comparing it to the libraries listed below
Sorting:
- Generalized sparse regression for continuous and discrete data☆12Updated 2 weeks ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆22Updated 4 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- ☆14Updated 4 years ago
- ☆15Updated last month
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆15Updated last year
- Reduced order modeling with shallow recurrent decoder networks☆17Updated last month
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- ☆12Updated 3 weeks ago
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆12Updated 8 months ago
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆16Updated 3 years ago
- Simple matlab FEM code for 2-d poisson equation☆17Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆15Updated last year
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆20Updated 8 months ago
- ☆14Updated 3 years ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Repository for project codes related to turbulence modelling.☆16Updated last year
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆20Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆77Updated 2 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆14Updated 4 years ago
- Two solutions, written in MATLAB, for solving the viscous Burger's equation. They are both spectral methods: the first is a Fourier Galer…☆14Updated 8 years ago
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆18Updated last week
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago