Machine Learning Package Targeted for Amorphous Materials.
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Updated
Feb 19, 2021 - Python
Machine Learning Package Targeted for Amorphous Materials.
Julia implementation of algorithm for counting primitive rings in an atomistic structure. Useful for materials simulations
Density of states-based kinetic Monte-Carlo simulation of variable-range hopping in amorphous solids
Structures obtained in the PRB article "NMR, x-ray and Mössbauer results for amorphous Li-Si alloys using density functional tight-binding method"
This repository was made as a complement for the amorph repository (A program build for analysing X-Ray Diffraction in amorphous materials). It takes the posterior_sample.txt that amorph generates, and build an HDF5 file for easier access to the data.
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