Machine learning descriptors in materials chemistry used in multiple experimentally validated studies: Oliynyk elemental property dataset

Machine learning descriptors in materials chemistry used in multiple experimentally validated studies: Oliynyk elemental property dataset

Materials informatics employs data-driven approaches for analysis and discovery of materials. Features also referred to as descriptors are essential in generating reliable and accurate machine-learning models. While general data can be obtained through public and commercial sources, features must be...

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Bibliographic Details
Main Authors: Sangjoon Lee, Clio Chen, Griheydi Garcia, Anton Oliynyk
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Data in Brief
Subjects:
Materials informatics
Machine learning
Feature engineering
Materials chemistry
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340924001495

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http://www.sciencedirect.com/science/article/pii/S2352340924001495

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