High Throughput Methodology for Synthesis, Screening, and Optimization of Solid State Lithium Ion Electrolytes
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- Mark S. Beal
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Brian E. Hayden
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Thierry Le Gall
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Christopher E. Lee
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Xiaojuan Lu
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Mehdi Mirsaneh
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Claire Mormiche
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Denis Pasero
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Duncan C. A. Smith
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Andrew Weld
- Ilika Technologies, Kenneth Dibben House, Enterprise Road, University of Southampton Science Park, Southampton, SO16 7NS, U.K.
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- Chihiro Yada
- Toyota Motor Corporation, Battery Research Division, Higashifuji Technical Centre, 1200 Mishuku, Susono, Shizuoka, 410-1193, Japan
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- Shoji Yokoishi
- Toyota Motor Corporation, Battery Research Division, Higashifuji Technical Centre, 1200 Mishuku, Susono, Shizuoka, 410-1193, Japan
書誌事項
- 公開日
- 2011-05-04
- 権利情報
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- http://pubs.acs.org/page/policy/authorchoice_termsofuse.html
- DOI
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- 10.1021/co100075f
- 公開者
- American Chemical Society (ACS)
この論文をさがす
説明
A study of the lithium ion conductor Li(3x)La(2/3-x)TiO(3) solid solution and the surrounding composition space was carried out using a high throughput physical vapor deposition system. An optimum total ionic conductivity value of 5.45 × 10(-4) S cm(-1) was obtained for the composition Li(0.17)La(0.29)Ti(0.54) (Li(3x)La(2/3-x)TiO(3)x = 0.11). This optimum value was calculated using an artificial neural network model based on the empirical data. Due to the large scale of the data set produced and the complexity of synthesis, informatics tools were required to analyze the data. Partition analysis was carried out to determine the synthetic parameters of importance and their threshold values. Multivariate curve resolution and principal component analysis were applied to the diffraction data set. This analysis enabled the construction of phase distribution diagrams, illustrating both the phases obtained and the compositional zones in which they occur. The synthetic technique presented has significant advantages over other thin film and bulk methodologies, in terms of both the compositional range covered and the nature of the materials produced.
収録刊行物
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- ACS Combinatorial Science
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ACS Combinatorial Science 13 (4), 375-381, 2011-05-04
American Chemical Society (ACS)