Literature DB >> 35027719

Hydride-ion-conducting K2NiF4-type Ba-Li oxyhydride solid electrolyte.

Fumitaka Takeiri1,2, Akihiro Watanabe1,3, Kei Okamoto1,2, Dominic Bresser4,5,6, Sandrine Lyonnard4, Bernhard Frick7, Asad Ali1,2, Yumiko Imai1, Masako Nishikawa1, Masao Yonemura2,8, Takashi Saito2,8, Kazutaka Ikeda2,8, Toshiya Otomo2,8, Takashi Kamiyama2,8, Ryoji Kanno3,9, Genki Kobayashi10,11.   

Abstract

Hydrogen transport in solids, applied in electrochemical devices such as fuel cells and electrolysis cells, is key to sustainable energy societies. Although using proton (H+) conductors is an attractive choice, practical conductivity at intermediate temperatures (200-400 °C), which would be ideal for most energy and chemical conversion applications, remains a challenge. Alternatively, hydride ions (H-), that is, monovalent anions with high polarizability, can be considered a promising charge carrier that facilitates fast ionic conduction in solids. Here, we report a K2NiF4-type Ba-Li oxyhydride with an appreciable amount of hydrogen vacancies that presents long-range order at room temperature. Increasing the temperature results in the disappearance of the vacancy ordering, triggering a high and essentially temperature-independent H- conductivity of more than 0.01 S cm-1 above 315 °C. Such a remarkable H- conducting nature at intermediate temperatures is anticipated to be important for energy and chemical conversion devices.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35027719     DOI: 10.1038/s41563-021-01175-0

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   47.656


  2 in total

1.  Uncovering the hydride ion diffusion pathway in barium hydride via neutron spectroscopy.

Authors:  Eric Novak; Luke Daemen; Anibal Javier Ramirez-Cuesta; Yongqiang Cheng; Robert Smith; Takeshi Egami; Niina Jalarvo
Journal:  Sci Rep       Date:  2022-04-13       Impact factor: 4.996

2.  Computation-accelerated discovery of the K2NiF4-type oxyhydrides combing density functional theory and machine learning approach.

Authors:  Qiang Bai; Yunrui Duan; Jie Lian; Xiaomin Wang
Journal:  Front Chem       Date:  2022-08-26       Impact factor: 5.545

  2 in total

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