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28 lines (28 loc) · 857 Bytes
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cff-version: 1.2.0
message: "If you use scikit-matter for your work, please read and cite it as below."
title: >-
scikit-matter : a suite of generalisable machine learning methods born out of chemistry and materials science [version 2; peer review: 3 approved, 1 approved with reservations]
type: journalArticle
issue: 81
volume: 3
authors:
- family-names: Goscinski
given-names: Alexander
- family-names: Principe
given-names: Victor P.
- family-names: Fraux
given-names: Guillaume
- family-names: Kliavinek
given-names: Sergei
- family-names: Helfrecht
given-names: Benjamin A.
- family-names: Loche
given-names: Philip
- family-names: Ceriotti
given-names: Michele
- family-names: Cersonsky
given-names: Rose K.
date-published: 2023
identifiers:
- type: doi
value: 10.12688/openreseurope.15789.2