Dataset for CH GAP interatomic potential

Dataset

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
Date made available4 Apr 2024
PublisherZenodo

Dataset Licences

  • CC-BY-4.0

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