wedeling / EasySurrogate
The VECMA toolkit for creating surrogate models of multiscale systems.
☆17Updated this week
Alternatives and similar repositories for EasySurrogate:
Users that are interested in EasySurrogate are comparing it to the libraries listed below
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆37Updated 6 months ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆89Updated last month
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆55Updated 2 years ago
- ☆14Updated 5 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆20Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆69Updated last month
- Sandia Uncertainty Quantification Toolkit☆76Updated 3 weeks ago
- POD-PINN code and manuscript☆47Updated 2 months ago
- Easy Reduced Basis method☆82Updated 3 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆27Updated 2 years ago
- ☆16Updated 10 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 8 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆19Updated last year
- DeepGreen network written in Tensorflow 2☆30Updated 3 years ago
- ☆35Updated last year
- RBniCS - reduced order modelling in FEniCS (legacy)☆101Updated 5 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆23Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆17Updated last month
- Finite volume method applied to the advection-diffusion equation☆43Updated 8 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization☆37Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 3 weeks ago
- Multifidelity DeepONet☆27Updated last year
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆27Updated 4 years ago
- Neural Network Approach for Data-Driven Constitutive Modeling☆40Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆31Updated 5 months ago