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  5. Computational Prediction and Evaluation of Solid-State Sodium Superionic Conductors Na<sub>7</sub>P<sub>3</sub>X<sub>11</sub> (X = O, S, Se)

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Article
en
2017

Computational Prediction and Evaluation of Solid-State Sodium Superionic Conductors Na<sub>7</sub>P<sub>3</sub>X<sub>11</sub> (X = O, S, Se)

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en
2017
Vol 29 (17)
Vol. 29
DOI: 10.1021/acs.chemmater.7b02476

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Gerbrand Ceder
Gerbrand Ceder

University of California, Berkeley

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Yan Wang
William D. Richards
Shou‐Hang Bo
+2 more

Abstract

Inorganic solid-state ionic conductors with high ionic conductivity are of great interest for their application in safe and high-energy-density solid-state batteries. Our previous study reveals that the crystal structure of the ionic conductor Li7P3S11 contains a body-centered-cubic (bcc) arrangement of sulfur anions and that such a bcc anion framework facilitates high ionic conductivity. Here, we apply a set of first-principles calculations techniques to investigate A7P3X11-type (A = Li, Na; X = O, S, Se) lithium and sodium superionic conductors derived from Li7P3S11, focusing on their structural, dynamic and thermodynamic properties. We find that the ionic conductivity of Na7P3S11 and Na7P3Se11 is over 10 mS cm–1 at room temperature, significantly higher than that of any known solid Na-ion sulfide or selenide conductor. However, thermodynamic calculations suggest that the isostructural sodium compounds may not be trivial to synthesize, which clarifies the puzzle concerning the experimental problems in trying to synthesize these compounds.

How to cite this publication

Yan Wang, William D. Richards, Shou‐Hang Bo, Lincoln J. Miara, Gerbrand Ceder (2017). Computational Prediction and Evaluation of Solid-State Sodium Superionic Conductors Na<sub>7</sub>P<sub>3</sub>X<sub>11</sub> (X = O, S, Se). , 29(17), DOI: https://doi.org/10.1021/acs.chemmater.7b02476.

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Publication Details

Type

Article

Year

2017

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.chemmater.7b02476

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