First-principles study of proton migration in indium oxide

Indium oxide is widely used as a transparent conducting oxide. Interstitial hydrogen $({\mathrm{H}}_{i})$ acts as a shallow donor, but is expected to be quite mobile, thus enabling potential applications in electrochemical synapses or electrochemical random-access memory. Understanding the diffusion of interstitial hydrogen is essential for controlling its incorporation and stability. Using first-principles calculations based on hybrid density functional theory we find that the proton is the most stable charge state for Fermi levels up to 0.77 eV above the conduction-band minimum. Based on the nudged elastic band method we find that local hopping of the H atom, corresponding to a realignment of the O-H bond, can occur with an activation energy of 0.24 eV; this process can thus occur at low temperatures but does not lead to long-range diffusion. The long-range migration path of ${\mathrm{H}}_{i}^{+}$ can be decomposed into rotations of the hydrogen atom around oxygen atoms and jumps between two oxygen atoms, with an overall activation energy of 0.94 eV. We compare our results with recent experiments, finding excellent agreement in both the low-temperature and high-temperature regimes, but leading to a re-evaluation of the measured activation energy. Our results provide insight into the different physical mechanisms that govern hydrogen motion in the different temperature regimes, and highlight the necessity of including the quantum-mechanical behavior of protons at low temperature.

Authors

Institutions

Publication Details

Journal
Physical review. B./Physical review. B
Published
2024-12-23
DOI
https://doi.org/10.1103/physrevb.110.l220101
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

First-principles study of proton migration in indium oxide

Chris G. Van de Walle, Mark E. Turiansky, Dominic Waldhoer, Mathilde L. D. Franckel
2 citations
Physical review. B./Physical review. B
Advanced Memory and Neural Computing
0.42
article

First-principles study of proton migration in indium oxide

Chris G. Van de Walle, Mark E. Turiansky, Dominic Waldhoer, Mathilde L. D. Franckel
article en
2 citations

Abstract

Indium oxide is widely used as a transparent conducting oxide. Interstitial hydrogen $({\mathrm{H}}_{i})$ acts as a shallow donor, but is expected to be quite mobile, thus enabling potential applications in electrochemical synapses or electrochemical random-access memory. Understanding the diffusion of interstitial hydrogen is essential for controlling its incorporation and stability. Using first-principles calculations based on hybrid density functional theory we find that the proton is the most stable charge state for Fermi levels up to 0.77 eV above the conduction-band minimum. Based on the nudged elastic band method we find that local hopping of the H atom, corresponding to a realignment of the O-H bond, can occur with an activation energy of 0.24 eV; this process can thus occur at low temperatures but does not lead to long-range diffusion. The long-range migration path of ${\mathrm{H}}_{i}^{+}$ can be decomposed into rotations of the hydrogen atom around oxygen atoms and jumps between two oxygen atoms, with an overall activation energy of 0.94 eV. We compare our results with recent experiments, finding excellent agreement in both the low-temperature and high-temperature regimes, but leading to a re-evaluation of the measured activation energy. Our results provide insight into the different physical mechanisms that govern hydrogen motion in the different temperature regimes, and highlight the necessity of including the quantum-mechanical behavior of protons at low temperature.

Physical review. B./Physical review. BVol. 110(22)
TU Wien (AT), University of California, Santa Barbara (US)
National Science Foundation, Semiconductor Research Corporation, Defense Advanced Research Projects Agency
Reduced inequalities
Openalex Percentile: Top 36%
Advanced Memory and Neural Computing
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.