1
|
Recent development in the field of ceramics solid-state electrolytes: I—oxide ceramic solid-state electrolytes. J Solid State Electrochem 2022. [DOI: 10.1007/s10008-022-05206-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
|
2
|
Yan S, Cui Q, Sun C, Hao J, Chu X, Xie H, Lin S, Zhang X. Enhancing the ionic conductivity and stabilizing cubic structure of garnet-type Li6.25-xAl0.25La3Zr2-xTaxO12 by Al/Ta co-doping. J SOLID STATE CHEM 2021. [DOI: 10.1016/j.jssc.2020.121949] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
3
|
Wu YJ, Tanaka T, Komori T, Fujii M, Mizuno H, Itoh S, Takada T, Fujita E, Xu Y. Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes. SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS 2020; 21:712-725. [PMID: 33209090 PMCID: PMC7594868 DOI: 10.1080/14686996.2020.1824985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 08/27/2020] [Accepted: 09/15/2020] [Indexed: 06/11/2023]
Abstract
We present a computational approach for identifying the important descriptors of the ionic conductivities of lithium solid electrolytes. Our approach discriminates the factors of both bulk and grain boundary conductivities, which have been rarely reported. The effects of the interrelated structural (e.g. grain size, phase), material (e.g. Li ratio), chemical (e.g. electronegativity, polarizability) and experimental (e.g. sintering temperature, synthesis method) properties on the bulk and grain boundary conductivities are investigated via machine learning. The data are trained using the bulk and grain boundary conductivities of Li solid conductors at room temperature. The important descriptors are elucidated by their feature importance and predictive performances, as determined by a nonlinear XGBoost algorithm: (i) the experimental descriptors of sintering conditions are significant for both bulk and grain boundary, (ii) the material descriptors of Li site occupancy and Li ratio are the prior descriptors for bulk, (iii) the density and unit cell volume are the prior structural descriptors while the polarizability and electronegativity are the prior chemical descriptors for grain boundary, (iv) the grain size provides physical insights such as the thermodynamic condition and should be considered for determining grain boundary conductance in solid polycrystalline ionic conductors.
Collapse
Affiliation(s)
- Yen-Ju Wu
- Center for Materials Research by Information Integration (CMI2), Research and Services Division of Materials Data and Integrated System (Madis), National Institute for Materials Science (NIMS), Tsukuba, Japan
- International Center for Young Scientists (ICYS), National Institute for Materials Science (NIMS), Tsukuba, Japan
| | - Takehiro Tanaka
- Technology Division, Innovation Promotion Sector, Panasonic Corporation, Osaka, Japan
| | - Tomoyuki Komori
- Technology Division, Innovation Promotion Sector, Panasonic Corporation, Osaka, Japan
| | - Mikiya Fujii
- Technology Division, Innovation Promotion Sector, Panasonic Corporation, Osaka, Japan
| | - Hiroshi Mizuno
- Technology Division, Innovation Promotion Sector, Panasonic Corporation, Osaka, Japan
| | - Satoshi Itoh
- Center for Materials Research by Information Integration (CMI2), Research and Services Division of Materials Data and Integrated System (Madis), National Institute for Materials Science (NIMS), Tsukuba, Japan
| | - Tadanobu Takada
- Center for Materials Research by Information Integration (CMI2), Research and Services Division of Materials Data and Integrated System (Madis), National Institute for Materials Science (NIMS), Tsukuba, Japan
| | - Erina Fujita
- Center for Materials Research by Information Integration (CMI2), Research and Services Division of Materials Data and Integrated System (Madis), National Institute for Materials Science (NIMS), Tsukuba, Japan
| | - Yibin Xu
- Center for Materials Research by Information Integration (CMI2), Research and Services Division of Materials Data and Integrated System (Madis), National Institute for Materials Science (NIMS), Tsukuba, Japan
| |
Collapse
|