A neural network machine learning enabled DEM framework for computational particle mechanics.

Project description

NetDEM

Welcome

NetDEM is a C++ program library targeted at the computational mechanics of irregular granular materials and utilizing machine learning tools to boost the computational effciency.

It is currently capable of performing basic and general DEM simulations, with following features:

Sphere and triangle facets contact solver
GJK contact solver for convex particles
SDF contact solver for arbitrary (convex and concave) particles
Hybrid OpenMP and MPI parallel computing
Integrated mlpack machine learning environment

The supported particle shapes include sphere, cylinder, poly-super-ellipsoid, poly-super-quadrics, spherical harmonics, triangle mesh, level set, etc.

Get started

Please kindly refer to NetDEM for usage, documentation, and code doxygen (python APIs) of the package.

Please kindly node that not all of the c++ properties or methods have been exposed to python. Please contact us (lai.zhengshou@outlook.com) if you would like to contribute.

Project details

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This version

1.27

Jun 30, 2023

1.26

Jun 25, 2023

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