Towards an interoperable perovskite description or how to keep track of 300 perovskite ions

Hybrid perovskites are interesting optoelectronic materials. The perovskite ABX<sub>3</sub> structure offers a vast compositional space, and we have identified over 300 perovskite ions. This flexibility enables tuneable properties and has significantly contributed to the success of perovskite optoelectronics. However, this diversity also leads to confusion, ambiguity, and inconsistencies causing challenges for data mining and machine learning applications. To address this issue, we propose guidelines and a JSON schema to standardize the reporting of perovskite compositions. The schema adheres to IUPAC recommendations and is designed to make data both human- and machine-readable. It captures key descriptors such as perovskite composition, molecular formula, SMILES representation, IUPAC name, and CAS number for each ion. To facilitate adoption, we have developed utilities to automatically generate comprehensive and standardized perovskite descriptions from standard ion abbreviations and stoichiometric coefficients. Additionally, we provide a curated database of all identified perovskite ions with associated descriptive data.

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Publication Details

Journal
Nature Communications
Published
2025-09-30
DOI
https://doi.org/10.1038/s41467-025-64325-x
Citations
3
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
2.19

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article

Towards an interoperable perovskite description or how to keep track of 300 perovskite ions

Rayan Chakraborty, Hampus Näsström, J.A. Marquez, Qiutong Li et al.
3 citations
Nature Communications
Perovskite Materials and Applications
2.19
article

Towards an interoperable perovskite description or how to keep track of 300 perovskite ions

Rayan Chakraborty, Hampus Näsström, J.A. Marquez, Qiutong Li, T. Jesper Jacobsson, Volker Blüm, Claudia Draxl, Jingshan Luo, Ayman Maqsood, Eva Unger, Chen Chen
article en
3 citations

Abstract

Hybrid perovskites are interesting optoelectronic materials. The perovskite ABX<sub>3</sub> structure offers a vast compositional space, and we have identified over 300 perovskite ions. This flexibility enables tuneable properties and has significantly contributed to the success of perovskite optoelectronics. However, this diversity also leads to confusion, ambiguity, and inconsistencies causing challenges for data mining and machine learning applications. To address this issue, we propose guidelines and a JSON schema to standardize the reporting of perovskite compositions. The schema adheres to IUPAC recommendations and is designed to make data both human- and machine-readable. It captures key descriptors such as perovskite composition, molecular formula, SMILES representation, IUPAC name, and CAS number for each ion. To facilitate adoption, we have developed utilities to automatically generate comprehensive and standardized perovskite descriptions from standard ion abbreviations and stoichiometric coefficients. Additionally, we provide a curated database of all identified perovskite ions with associated descriptive data.

Nature CommunicationsVol. 16(1)
Linköping University (SE), Tianjin University of Technology (CN), Duke University (US), Lund University (SE), Nankai University (CN), Helmholtz-Zentrum Berlin für Materialien und Energie (DE), Humboldt-Universität zu Berlin (DE)
National Science Foundation, European Commission, Deutsche Forschungsgemeinschaft, Linköpings Universitet, HORIZON EUROPE Framework Programme, National Key Research and Development Program of China
Openalex Percentile: Top 11%
Perovskite Materials and Applications
2.19
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