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Theory of Hydrogen Migration in Organic–Inorganic Halide Perovskites

Open access
Egger, David A., Kronik, Leeor, Rappe, Andrew M.·2015·Angewandte Chemie International Edition

Abstract

Solar cells based on organic–inorganic halide perovskites have recently been proven to be remarkably efficient. However, they exhibit hysteresis in their current–voltage curves, and their stability in the presence of water is problematic. Both issues are possibly related to a diffusion of defects in the perovskite material. By using first‐principles calculations based on density functional theory, we study the properties of an important defect in hybrid perovskites—interstitial hydrogen. We show that differently charged defects occupy different crystal sites, which may allow for ionization‐enhanced defect migration following the Bourgoin–Corbett mechanism. Our analysis highlights the structural flexibility of organic–inorganic perovskites: successive iodide displacements, combined with hydrogen bonding, enable proton diffusion with low migration barriers. These findings indicate that hydrogen defects can be mobile and thus highly relevant for the performance of perovskite solar cells.

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Metadata

Authors
Egger, D. A., Kronik, L., & Rappe, A. M.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2015-06-12
Volume
54
Issue
42
Pages
12437-12441
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2114270338
Cited by
164
References
1
FWCI
12.19
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Theory of Hydrogen Migration in Organic–Inorganic Halide Perovskites. https://app.cochat.ai/papers/10.1002/anie.201502544
The paper
Egger, D. A., Kronik, L., & Rappe, A. M. (2015). Theory of Hydrogen Migration in Organic–Inorganic Halide Perovskites. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201502544

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.