Dataset

mlearn_Si_test



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Name mlearn_Si_test
Extended ID mlearn_Si_test__Zuo-Chen-Li-Deng-Chen-Behler-Csányi-Shapeev-Thompson-Wood-Ong__DS_lvjng6g41bwy_0
Description A comprehensive DFT data set was generated for six elements - Li, Mo, Ni, Cu, Si, and Ge. These elements were chosen to span a variety of chemistries (main group metal, transition metal, and semiconductor), crystal structures (bcc, fcc, and diamond) and bonding types (metallic and covalent). This dataset comprises only the Si configurations
Authors Yunxing Zuo
Chi Chen
Xiangguo Li
Zhi Deng
Yiming Chen
Jörg Behler
Gábor Csányi
Alexander V. Shapeev
Aidan P. Thompson
Mitchell A. Wood
Shyue Ping Ong
DOI 10.60732/e16c3975
https://commons.datacite.org/doi.org/10.60732/e16c3975
https://doi.datacite.org/dois/10.60732%2Fe16c3975
https://doi.org/10.60732/e16c3975

Cite as: Zuo, Y., Chen, C., Li, X., Deng, Z., Chen, Y., Behler, J., Csányi, G., Shapeev, A. V., Thompson, A. P., Wood, M. A., and Ong, S. P. "mlearn Si test." ColabFit, 2023. https://doi.org/10.60732/e16c3975.
For other citation formats, see the DataCite Fabrica page for this dataset.
Property Types atomic_forces
cauchy_stress
energy
Elements Si (100.0%)
Number of Property Objects 25
Number of Configurations 25
Number of Atoms 1,525
Links https://github.com/materialsvirtuallab/mlearn
https://doi.org/10.1021/acs.jpca.9b08723
Configuration Sets by Name Si_vacancy — NVT AIMD simulations of the bulk supercells with a single vacancy performed at 300 K and 2.0x of the melting point of each element. The bulk supercells were heated from 0 K to the target temperatures and equilibrated for 20,000 time steps. A total of 40 snapshots were obtained from the subsequent production run of each AIMD simulation at an interval of 0.1 ps.
Si_AIMD_NVT — NVT ab initio molecular dynamics (AIMD) simulations of the bulk supercells performed at 300 K and 0.5x, 0.9x, 1.5x, and 2.0x of the melting point of each element with a time step of 2 fs. The bulk supercells were heated from 0 K to the target temperatures and equilibrated for 20 000 time steps. A total of 20 snapshots were obtained from the subsequent production run in each AIMD simulation at an interval of 0.1 ps.
Si_surface — Slab structures up to a maximum Miller index of three, including (100), (110), (111), (210), (211), (310), (311), (320), (321), (322), (331), and (332), as obtained from the Crystalium database.
Si_strain — Strained structures constructed by applying strains of -10% to 10% at 2% intervals to the bulk supercell in six different modes. The supercells used are the 3 x 3 x 3, 3 x 3 x 3, and 2 x 2 x 2 of the conventional bcc, fcc, and diamond unit cells, respectively
Configuration Sets by ID CS_5u474yzj0pus_0
CS_wzpr5yc4mo4s_0
CS_xfn4z4t2c54a_0
CS_tapq4lfbwm0a_0
Property Objects
ColabFit ID DS_lvjng6g41bwy_0
Files colabfitspec.json

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