Dataset

LiTiO_Science_2020




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Name LiTiO_Science_2020
Extended ID LiTiO_Science_2020__Chen-Seo__DS_0pv4lpmx2ov3_0
Description This dataset contains configurations of lithium titanate from the publication Kinetic Pathways of ionic transport in fast-charging lithium titanate. In order to understand the origin of various EELS (electron energy-loss spectroscopy) spectra features, EELS spectra were simulated using the Vienna Ab initio Simulation (VASP) package. For a specific Li in a given configuration, this is done by calculating the DOS and integrated DOS considering a Li core-hole on the position of the specific Li and calculating the EELS based on the DOS. The minimum energy paths (MEP) and migration energy of Li were calculated in various compositions, including Li4Ti5O12 with an additional Li carrier, Li5Ti5O12 with an additional Li carrier, and Li7Ti5O12 with a Li vacancy carrier.
Authors Tina Chen
Dong-hwa Seo
DOI 10.60732/03896523
https://commons.datacite.org/doi.org/10.60732/03896523
https://doi.datacite.org/dois/10.60732%2F03896523
https://doi.org/10.60732/03896523

Cite as: Chen, T., and Seo, D. "LiTiO Science 2020." ColabFit, 2024. https://doi.org/10.60732/03896523.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements
Be (0.03%)
Li (23.04%)
O (54.3%)
Ti (22.63%)
Number of Configurations 848
Number of Atoms 149,914
Publication Link https://doi.org/10.1126/science.aax3520
Data Source Link https://doi.org/10.24435/materialscloud:2020.0006/v1
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_0pv4lpmx2ov3_0
Downloads 6
Files colabfitspec.json

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