Description
This is a general-purpose Gaussian approximation potential (GAP [1]) for carbon and hydrogen based materials (CH). The potential is capabe of simulating various materials and molecules composed of C and H elements. The interatomic potential has been fitted with QUIP/GAP [1,2] using an extensive dataset of different configurations at the PBE level of theory [3] using the VASP code [4,5]. The dataset contains following structures :
Dimers of carbon and hydrogen
Trimers
CH containing "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 [7]
Bulk and surface carbon structures
CH structures geneated using high pressure
This potential includes van der Waals (vdW) corrections at the Tkatchenko-Scheffler (TS) level of theory [8] via a machine learning based local parametrization of dispersion interactions [9].
Dimers of carbon and hydrogen
Trimers
CH containing "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 [7]
Bulk and surface carbon structures
CH structures geneated using high pressure
This potential includes van der Waals (vdW) corrections at the Tkatchenko-Scheffler (TS) level of theory [8] via a machine learning based local parametrization of dispersion interactions [9].
Date made available | 4 Apr 2024 |
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Publisher | Zenodo |
Dataset Licences
- CC-BY-4.0
Datasets
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Subset of stochastically generated interacting molecules for CH GAP interatomic potential
Ibragimova, R. (Creator) & Caro Bayo, M. (Creator), Zenodo, 22 Jul 2024
DOI: 10.5281/zenodo.12794461, https://zenodo.org/records/12794463
Dataset
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Dataset for CH GAP interatomic potential
Ibragimova, R. (Creator), Kuklin, M. (Creator) & Caro Bayo, M. (Creator), Zenodo, 4 Apr 2024
DOI: 10.5281/zenodo.10925479, https://zenodo.org/records/10925480
Dataset