Dataset

COHInPt_schaaf_2023



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Name COHInPt_schaaf_2023
Extended ID COHInPt_schaaf_2023__Schaaf-Fako-De-Schafer-Csanyi__DS_l9f0rjjqfd67_0
Description Training and simulation data from machine learning force field model applied to steps of the hydrogenation of carbon dioxide to methanol over an indium oxide catalyst, with and without platinum doping.
Authors Lars Schaaf
Edvin Fako
Sandip De
Ansgar Schafer
Gabor Csanyi
DOI 10.60732/d16f9667
https://commons.datacite.org/doi.org/10.60732/d16f9667
https://doi.datacite.org/dois/10.60732%2Fd16f9667
https://doi.org/10.60732/d16f9667

Cite as: Schaaf, L., Fako, E., De, S., Schafer, A., and Csanyi, G. "COHInPt schaaf 2023." ColabFit, 2023. https://doi.org/10.60732/d16f9667.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements C (1.17%)
H (1.65%)
In (38.38%)
O (58.76%)
Pt (0.04%)
Number of Configurations 1,994
Number of Atoms 163,746
Links https://doi.org/10.5281/zenodo.8268726
https://doi.org/10.48550/arXiv.2301.09931
Configuration Sets by Name COHInPt_schaaf_2023_dopant-configs — dopant-configs molecular dynamics data from COHInPt_schaaf_2023 set
COHInPt_schaaf_2023_Pt_doped_training — Pt_doped_training molecular dynamics data from COHInPt_schaaf_2023 set
COHInPt_schaaf_2023_undoped_training — undoped_training molecular dynamics data from COHInPt_schaaf_2023 set
COHInPt_schaaf_2023_bi-HCOO_D — bi-HCOO_D molecular dynamics data from COHInPt_schaaf_2023 set
COHInPt_schaaf_2023_dft-intermediates — dft-intermediates molecular dynamics data from COHInPt_schaaf_2023 set
Configuration Sets by ID CS_w8piu86pb8kw_0
CS_hcoijaf5nw65_0
CS_cobd92vzjnug_0
CS_cx8bji6p453o_0
CS_wqzuqhngwymc_0
Calculated Properties
ColabFit ID DS_l9f0rjjqfd67_0
Files colabfitspec.json

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