Applications of Machine Learning to the Study of Crystalline Materials

Hartmut Schlenz; Stefan Sandfeld

doi:10.3390/cryst12081070

Crystals (Jul 2022)

Applications of Machine Learning to the Study of Crystalline Materials

Hartmut Schlenz,
Stefan Sandfeld

Affiliations

Hartmut Schlenz: Forschungszentrum Juelich, Institute of Energy and Climate Research (IEK), IEK-1: Materials Synthesis and Processing, Wilhelm-Johnen-Strasse, D-52425 Juelich, Germany
Stefan Sandfeld: Forschungszentrum Juelich, Institute of Advanced Simulation—Materials Data Science and Informatics (IAS-9), Wilhelm-Johnen-Strasse, D-52425 Juelich, Germany

DOI: https://doi.org/10.3390/cryst12081070
Journal volume & issue: Vol. 12, no. 8
p. 1070

Abstract

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This Special Issue, “Applications of Machine Learning to the Study of Crystalline Materials”, is a collection of seven original articles published in 2021 and 2022 and dedicated to applications of machine learning in materials research [...]

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Published in Crystals

ISSN: 2073-4352 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science: Chemistry: Crystallography
Website: http://www.mdpi.com/journal/crystals/

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Abstract

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