857 citations · 969 across the 5 of their papers we have counts for
3 papers · 1 filter
High-performance descriptor for magnetic materials: Accurate discrimination of magnetic structure
Michi-To Suzuki, Takuya Nomoto, Eiaki V. Morooka +2
The magnetic structure is crucial in determining the physical properties inherent in magnetic compounds. We present an adequate descriptor for magnetic structure with proper magnet…
Updates to the DScribe Library: New Descriptors and Derivatives
Jarno Laakso, Lauri Himanen, Henrietta Homm +4
We present an update of the DScribe package, a Python library for atomistic descriptors. The update extends DScribe's descriptor selection with the Valle-Oganov materials fingerpri…
DScribe: Library of Descriptors for Machine Learning in Materials Science
Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka +5
DScribe is a software package for machine learning that provides popular feature transformations ("descriptors") for atomistic materials simulations. DScribe accelerates the applic…