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Name: MATERiA codes
Type: Organization
Bio: The MATERiA team develops materials science applications using tools of algebraic topology and discrete mathematics
Location: Manchester
Blog: http://materia.team/
Name: MATERiA codes
Type: Organization
Bio: The MATERiA team develops materials science applications using tools of algebraic topology and discrete mathematics
Location: Manchester
Blog: http://materia.team/
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.
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.
The code creates Combinatorial Discrete Cell Complex as a set of Adjacency and Incidence matrices based on the 2D/3D EBSD data
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 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
Technical and Theoretical Code Manuals
Visual applications for PCC analysis and simulations
Based on the NEPER software output, this Python package provides useful tools for a Polyhedral Cell Complex (PCC) analysis and visualisation
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.