LLNL / LaSDI
☆49Updated last year
Alternatives and similar repositories for LaSDI:
Users that are interested in LaSDI are comparing it to the libraries listed below
- ☆28Updated 11 months ago
- Python interface for libROM, library for reduced order models☆58Updated last week
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated last year
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆69Updated 3 weeks ago
- ☆33Updated last month
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- ☆14Updated 6 months ago
- A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…☆56Updated 5 years ago
- ☆22Updated 7 months ago
- Easy Reduced Basis method☆83Updated this week
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 7 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 3 weeks ago
- Scientific Machine Learning Tutorials☆36Updated 3 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆65Updated last year
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- ☆116Updated 5 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆106Updated 2 months ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 9 months ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆95Updated 5 months ago
- The algorithmic differentation tool pyadjoint and add-ons.☆93Updated this week
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆213Updated last week
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆83Updated 3 years ago
- ☆51Updated this week
- A library for dimensionality reduction on spatial-temporal PDE☆63Updated 10 months ago
- A scalable reinforcement learning framework for CFD on HPC systems☆28Updated 3 months ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 5 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 2 years ago