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Version 1

Machine learning descriptors in materials chemistry: Oliynyk elemental property dataset

Published:8 January 2024|Version 1|DOI:10.17632/bt6gv5z6yv.1
Contributor:Sangjoon Lee

Description

The Oliynyk elemental property data contains 99 elemental features for atomic numbers from 1 to 92, including thermodynamic properties, electronic structure data, size, electronegativity, and bulk properties such as melting point, density, and conductivity.

Institutions

Columbia University, Manhattan College, Hunter College

Categories

Materials Chemistry, Solid-State Chemistry, Data Science, Machine Learning, Feature Extraction

Licence

Creative Commons Attribution 4.0 International

Version 2

Machine learning descriptors in materials chemistry: Oliynyk elemental property dataset

Published:9 January 2024|Version 2|DOI:10.17632/bt6gv5z6yv.2
Contributors:
,

Description

The Oliynyk elemental property data contains 99 elemental features for atomic numbers from 1 to 92, including thermodynamic properties, electronic structure data, size, electronegativity, and bulk properties such as melting point, density, and conductivity.

Institutions

Columbia University, Manhattan College, Hunter College

Categories

Materials Chemistry, Solid-State Chemistry, Data Science, Machine Learning, Feature Extraction

Licence

Creative Commons Attribution 4.0 International