This Python code generates a Combinatorial Discrete Cell Complex for the slip planes arrangement in FCC and BCC lattices as a set of Adjacency and Incidence matrices

The C++ code generates discrete structures and analyses their evolution process on the elements of a Polytopal Cell Complexes (PCCs) represented algebraically as a set of incidence and adjacency matrices

This jupyter (.ipynb) notebook is written as a tool for automatic detection and quantification of mesostructure (including shear bands) based on the measurement of the Hellinger distances between random and actual misorientation distribution function (MDF) experimentally obtained by EBSD or X-ray microscopy.

Based on the NEPER software output, this Python package provides useful tools for a Polyhedral Cell Complex (PCC) analysis and visualisation

Technical and Theoretical Code Manuals

The code creates Combinatorial Discrete Cell Complex as a set of Adjacency and Incidence matrices based on the 2D/3D EBSD data

A spin-off code of the 'Voronoi PCC Analyser' software project. Created as a simulation tool for nucleation-and-growth (NAG) structure evolution processes based on the discrete combinatorial representation of 2D and 3D polycrystalline materials.

Visual applications for PCC analysis and simulations