Dataset for CH GAP interatomic potential

Dataset for CH GAP interatomic potential

Description

This is a dataset used to train general-purpose CH GAP interatomic potential [1]. The database contains the following entries: Dimers of carbon and hydrogen Trimers "Soup" structures generated during iterative training QM9[6] molecules augmented to C and H containing molecules only Interactive molecules generated using active learning a-C dataset from [2] Bulk and surface carbon structures CH structures geneated using high pressure
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Year of publication

2024

Authors

Department of Chemistry and Materials Science

Miguel Caro Bayo - Creator

Mikhail Kuklin - Creator

Rina Ibragimova Orcid -palvelun logo - Creator

Zenodo - Publisher

Other information

Fields of science

Computer and information sciences; Chemical sciences

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

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