1.8k citations · 5.3k across the 59 of their papers we have counts for
3 papers · 1 filter
Uncovering structure-property relationships of materials by subgroup discovery
B. R. Goldsmith, M. Boley, J. Vreeken +2
Subgroup discovery (SGD) is presented here as a data-mining approach to help find interpretable local patterns, correlations, and descriptors of a target property in materials-scie…
Learning physical descriptors for materials science by compressed sensing
Luca M. Ghiringhelli, Jan Vybiral, Emre Ahmetcik +4
The availability of big data in materials science offers new routes for analyzing materials properties and functions and achieving scientific understanding. Finding structure in th…
Towards a Common Format for Computational Material Science Data
Luca M. Ghiringhelli, Christian Carbogno, Sergey Levchenko +5
Information and data exchange is an important aspect of scientific progress. In computational materials science, a prerequisite for smooth data exchange is standardization, which m…