Dataset
JARVIS_TinNet_O
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| Name | JARVIS_TinNet_O |
|---|---|
| Extended ID | JARVIS_TinNet_O__Wang-Pillai-Wang-Achenie-Xin__DS_ok9dbnj53zih_0 |
| Description | The JARVIS_TinNet dataset is part of the joint automated repository for various integrated simulations (JARVIS) database. This dataset contains configurations from the TinNet-O dataset: a collection assembled to train a machine learning model for the purposes of assisting catalyst design by predicting chemical reactivity of transition-metal surfaces. The adsorption systems contained in this dataset consist of {111}-terminated metal surfaces. JARVIS is a set of tools and collected datasets built to meet current materials design challenges. |
| Authors |
Shih-Han Wang Hemanth Somarajan Pillai Siwen Wang Luke E. K. Achenie Hongliang Xin |
| DOI |
10.60732/9541fb8b
https://commons.datacite.org/doi.org/10.60732/9541fb8b https://doi.datacite.org/dois/10.60732%2F9541fb8b https://doi.org/10.60732/9541fb8b Cite as: Wang, S., Pillai, H. S., Wang, S., Achenie, L. E. K., and Xin, H. "JARVIS TinNet O." ColabFit, 2023. https://doi.org/10.60732/9541fb8b. For other citation formats, see the DataCite Fabrica page for this dataset. |
| Calculated Property Types |
adsorption_energy atomic_forces cauchy_stress |
| Elements |
Ag (3.32%) Al (0.19%) Au (6.4%) Bi (0.1%) Cd (0.17%) Co (1.05%) Cr (0.74%) Cu (5.98%) Fe (0.44%) Ga (0.32%) Hf (0.11%) In (0.2%) Ir (10.26%) La (0.1%) Mn (0.63%) Mo (1.22%) Nb (0.65%) Ni (6.84%) O (5.88%) Os (3.46%) Pb (0.1%) Pd (8.79%) Pt (13.67%) Re (6.03%) Rh (9.39%) Ru (4.61%) Sc (0.37%) Sn (0.22%) Ta (0.95%) Ti (0.94%) Tl (0.18%) V (1.0%) W (4.25%) Y (0.24%) Zn (0.56%) Zr (0.59%) |
| Number of Configurations | 747 |
| Number of Atoms | 12,699 |
| Links |
https://figshare.com/ndownloader/files/40934285 https://doi.org/10.1038/s41467-021-25639-8 https://jarvis.nist.gov/ https://github.com/hlxin/tinnet/tree/master |
| Configuration Sets by Name | (None) |
| Configuration Sets by ID | (None) |
| Calculated Properties | |
| ColabFit ID | DS_ok9dbnj53zih_0 |
| Files | colabfitspec.json |
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