chyalexcheng / grainLearningLinks
A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains only the stable releases. For the most recent development of the GrainLearning project, please go to https://github.com/GrainLearning/grainLearning.
☆12Updated 2 years ago
Alternatives and similar repositories for grainLearning
Users that are interested in grainLearning are comparing it to the libraries listed below
Sorting:
- RBniCS - reduced order modelling in FEniCS (legacy)☆112Updated 7 months ago
- Reduced order modelling techniques for OpenFOAM☆200Updated last month
- Easy Reduced Basis method☆87Updated last month
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆157Updated this week
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆93Updated 2 months ago
- Monolithic Fluid-Structure Interaction (FSI) solver☆71Updated 6 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated 2 years ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated last year
- Immersed Boundary Projection Method☆117Updated 5 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆111Updated 3 weeks ago
- Deep Learning for Reduced Order Modelling☆100Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 3 months ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆54Updated 2 weeks ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 4 years ago
- multiphenicsx - easy prototyping of multiphysics problems in FEniCSx☆59Updated last week
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 4 years ago
- MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media☆114Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆94Updated 6 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆47Updated 2 years ago
- Spectral proper orthogonal decomposition in Matlab☆147Updated last month
- CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization☆41Updated 2 months ago
- A highly efficient and portable fluid-structure simulation package based on immersed-boundary method☆37Updated 5 years ago
- COmputational MEchanics numerical Tours with FEniCSx☆60Updated 7 months ago
- Efficient Matlab Implementation of Adaptive Mesh Refinement in 2D☆66Updated 5 years ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆167Updated 7 months ago
- An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 75 built-in examples, in…☆191Updated last month
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆59Updated last year
- Finite volume method applied to the advection-diffusion equation☆46Updated last year
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆52Updated 4 years ago
- A curated list of repositories related to fluid dynamics.☆127Updated 2 years ago