Dataset for CH GAP interatomic potential

Beskrivning

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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Publiceringsår

2024

Typ av data

Upphovspersoner

Department of Chemistry and Materials Science

Miguel Caro Bayo - Upphovsperson

Mikhail Kuklin - Upphovsperson

Rina Ibragimova Orcid -palvelun logo - Upphovsperson

Zenodo - Utgivare

Projekt

Övriga uppgifter

Vetenskapsområden

Data- och informationsvetenskap; Kemi

Språk

Öppen tillgång

Öppet

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

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