TY - JOUR
T1 - Characteristic mechanism for fast H− conduction in LaH2.5O0.25
AU - Iskandarov, Albert
AU - Tada, Tomofumi
AU - Iimura, Soshi
AU - Hosono, Hideo
N1 - Funding Information:
AI was supported by Yokohama Academic Foundation (Grant Number: 764). SI was supported by PRESTO program (Grant Number: JPMJPR19T1) of the JST. This research was supported in part by a MEXT funding of Element Strategy Initiative to form research cores (Grant Number: JPMXP0112101001) and by JSPS KAKENHI Grant (Number: 19K22044).
Publisher Copyright:
© 2022 Acta Materialia Inc.
PY - 2022/5/15
Y1 - 2022/5/15
N2 - Solid hydrides are a new class of ionic conductors promising for future applications for hydrogen-carrier, catalysis, and energy conversion. The record-high H− conductivity reported for LaH2.5O0.25 is caused by extraordinarily large pre-exponential factor, which cannot be justified within any simple diffusion picture. To reveal H− dynamics in LaH2.5O0.25 on atomistic level, we developed DFT-based neural-network-potential for large-scale molecular dynamics (MD) simulation and discovered the H− diffusion mechanism: the stoichiometric vacancies are ordered and almost immobile, but they can be rarely kicked-out and become fast mobile vacancies that migrate in a coupled manner with 3H− ring-like rotations. The MD and DFT phonon analysis reveal that the mobile vacancy formation gives rise to an extremely large entropy leading to the anomalously large pre-exponential factor, and that the anharmonicity of H− vibrations causes the large pre-exponential factor. A design concept for faster H− conductor is proposed based on the present finding.
AB - Solid hydrides are a new class of ionic conductors promising for future applications for hydrogen-carrier, catalysis, and energy conversion. The record-high H− conductivity reported for LaH2.5O0.25 is caused by extraordinarily large pre-exponential factor, which cannot be justified within any simple diffusion picture. To reveal H− dynamics in LaH2.5O0.25 on atomistic level, we developed DFT-based neural-network-potential for large-scale molecular dynamics (MD) simulation and discovered the H− diffusion mechanism: the stoichiometric vacancies are ordered and almost immobile, but they can be rarely kicked-out and become fast mobile vacancies that migrate in a coupled manner with 3H− ring-like rotations. The MD and DFT phonon analysis reveal that the mobile vacancy formation gives rise to an extremely large entropy leading to the anomalously large pre-exponential factor, and that the anharmonicity of H− vibrations causes the large pre-exponential factor. A design concept for faster H− conductor is proposed based on the present finding.
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U2 - 10.1016/j.actamat.2022.117825
DO - 10.1016/j.actamat.2022.117825
M3 - Article
AN - SCOPUS:85126604857
VL - 230
JO - Acta Materialia
JF - Acta Materialia
SN - 1359-6454
M1 - 117825
ER -