output
20192025
most citedDScribe: Library of Descriptors for Machine Learning in Materials Science

857 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

2 papers · 1 filter

physics.comp-ph2019★ 121 cited

Automated Structure Discovery in Atomic Force Microscopy

Benjamin Alldritt, Prokop Hapala, Niko Oinonena +7

Atomic force microscopy (AFM) with molecule-functionalized tips has emerged as the primary experimental technique for probing the atomic structure of organic molecules on surfaces.…

cond-mat.mtrl-sci2019★ 857 cited

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…