wedeling / EasySurrogateLinks
The VECMA toolkit for creating surrogate models of multiscale systems.
☆20Updated 10 months ago
Alternatives and similar repositories for EasySurrogate
Users that are interested in EasySurrogate are comparing it to the libraries listed below
Sorting:
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆65Updated 3 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆76Updated last month
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆50Updated last year
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆98Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years 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…☆21Updated 4 years ago
- A Differentiable Reacting Flow Simulation Package in PyTorch☆52Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Sandia Uncertainty Quantification Toolkit☆84Updated 11 months ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆114Updated 2 weeks ago
- Rheology-informed Machine Learning Projects☆21Updated last year
- Multi-fidelity reduced-order surrogate modeling☆28Updated 5 months ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆70Updated 8 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 3 months ago
- Easy Reduced Basis method☆91Updated last month
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Updated 2 years ago
- ☆40Updated 2 years ago
- ☆117Updated 6 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago
- ☆16Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- ☆70Updated last year
- mechanoChemML library☆17Updated 5 months ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆95Updated 6 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆40Updated 5 years ago
- multiphenicsx - easy prototyping of multiphysics problems in FEniCSx☆60Updated last month
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆35Updated 3 years ago