Please use this identifier to cite or link to this item: https://apo.ansto.gov.au/dspace/handle/10238/11057
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dc.contributor.authorZhang, LW-
dc.contributor.authorHe, B-
dc.contributor.authorZhao, Q-
dc.contributor.authorZou, ZY-
dc.contributor.authorChi, ST-
dc.contributor.authorMi, PH-
dc.contributor.authorYe, AJ-
dc.contributor.authorLi, YJ-
dc.contributor.authorWang, D-
dc.contributor.authorAvdeev, M-
dc.contributor.authorAdams, S-
dc.contributor.authorShi, S-
dc.date.accessioned2021-07-14T04:11:18Z-
dc.date.available2021-07-14T04:11:18Z-
dc.date.issued2020-06-25-
dc.identifier.citationZhang, L., He, B., Zhao, Q., Zou, Z., Chi, S., Mi, P., Ye, A., Li, Y., Wang, D., Avdeev, M., Adams, S., & Shi, S. (2020). A database of ionic transport characteristics for over 29 000 inorganic compounds. Advanced Functional Materials, 30(35), 2003087. doi:10.1002/adfm.202003087en_US
dc.identifier.issn1616-3028-
dc.identifier.urihttps://doi.org/10.1002/adfm.202003087en_US
dc.identifier.urihttps://apo.ansto.gov.au/dspace/handle/10238/11057-
dc.description.abstractTransport characteristics of ionic conductors play a key role in the performance of electrochemical devices such as solid-state batteries, solid-oxide fuel cells, and sensors. Despite the significance of the transport characteristics, they have been experimentally measured only for a very small fraction of all inorganic compounds, which limits the technological progress. To address this deficiency, a database containing crystal structure information, ion migration channel connectivity information, and 3D channel maps for over 29 000 inorganic compounds is presented. The database currently contains ionic transport characteristics for all potential cation and anion conductors, including Li+, Na+, K+, Ag+, Cu(2)+, Mg2+, Zn2+, Ca2+, Al3+, F−, and O2−, and this number is growing steadily. The methods used to characterize materials in the database are a combination of structure geometric analysis based on Voronoi decomposition and bond valence site energy (BVSE) calculations, which yield interstitial sites, transport channels, and BVSE activation energy. The computational details are illustrated on several typical compounds. This database is created to accelerate the screening of fast ionic conductors and to accumulate descriptors for machine learning, providing a foundation for large-scale research on ion migration in inorganic materials.© 1999-2021 John Wiley & Sons, Inc.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subjectCrystal structureen_US
dc.subjectInorganic compoundsen_US
dc.subjectIonic conductivityen_US
dc.subjectMachine learningen_US
dc.subjectLithiumen_US
dc.subjectSodiumen_US
dc.subjectPotassiumen_US
dc.subjectSilveren_US
dc.subjectCopperen_US
dc.subjectMagnesium ionsen_US
dc.subjectZinc ionsen_US
dc.subjectCalcium ionsen_US
dc.subjectAluminium ionsen_US
dc.subjectFluorineen_US
dc.subjectOxygenen_US
dc.titleA database of ionic transport characteristics for over 29 000 inorganic compoundsen_US
dc.typeJournal Articleen_US
dc.date.statistics2021-07-06-
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