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Table · dataset · 2026

Not all H atoms contribute to low activation barrier diffusion in Ba<sub>1.75</sub>LiH<sub>2.7</sub>O<sub>0.9</sub>

Listed in ZivaHub and Deakin Research Online and DMU Figshare and HKU DataHub and Swinburne Figshare and DaYta Ya Rona and SUNScholarData and figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.6084/m9.figshare.32414772.v2

<p>Superionic conductors have extremely high conductivity in some constituent ions even in the solid state, and many lose their superionicity below a critical temperature.

Description

The conductivity of K<sub>2</sub>NiF<sub>4</sub> structure-based Ba<sub>1.75</sub>LiH<sub>2.7</sub>O<sub>0.9</sub> jumps over three orders of magnitude at ~ 573 K. This jump is not at a first-order structural phase transition temperature. Molecular dynamics (MD) simulations using a density functional theory (DFT) trained universal neural network potential (NNP) were conducted in this study.

The Arrhenius plot of the tracer diffusion coefficient is a straight line between 455 and 741 K, inconsistent with the conductivity jump. The 3D activation barrier is ~0.3 eV, which is much lower than typical K<sub>2</sub>NiF<sub>4</sub> structure-based oxyhydrides. The features in the radial distribution function are almost temperature independent.

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However, statistical inspection of the tracer diffusion coefficient for each atom, which is very difficult with DFT-MD but is feasible with NNP-MD, revealed the existence of effectively immobile H atoms over the entire studied temperature range. Most H do not engage in concerted migration, according to a comparison with a universal curve for independent random walkers. These findings hold for all phases, which have different distributions of Li, O, and H atoms in the same structural framework.

Incorporating many vacancies, especially in ‘K’ sites of the K<sub>2</sub>NiF<sub>4</sub> framework, could form a low activation barrier H diffusion network not available in conventional oxyhydrides with the same framework. Gaining access to such a percolating network above a certain temperature can explain the superionic transition at this temperature.</p> <p>Neural network potential molecular dynamics show that the superionic transition in H<sup>−</sup>-conductor Ba<sub>1.75</sub>LiH<sub>2.7</sub>O<sub>0.9</sub> that does not accompany a structural transition is caused by changes in non-migrating H with temperature.</p>

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Density functional theory 75%
Provenance · 11 source records, 106 field assertions
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HKU DataHuboai:figshare.com:article/3241477213 d agoJSON v1
Swinburne Figshareoai:figshare.com:article/3241477213 d agoJSON v1
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UP Research Data Repositoryoai:figshare.com:article/3241477212 d agoJSON v1
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