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Cited by 260

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The geometric blueprint of perovskites

Open access
Filip, Marina R., Giustino, Feliciano·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: Perovskites constitute one of the most versatile and chemically diverse families of crystals. In perovskites the same structural template supports a staggering variety of properties, from metallic, insulating, and semiconducting behavior to superconducting, ferroelectric, ferromagnetic, and multiferroic phases. Approximately 2,000 perovskites are currently known. In this work we revisit the century-old model proposed by Goldschmidt to predict the formability of perovskites in the key of modern inferential statistics and internet data mining. We demonstrate that the nonrattling rule postulated by Goldschmidt can predict the stability of perovskites with a success rate of 80%. Using this tool we predict the existence of 90,000 hitherto unknown perovskites.

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Metadata

Authors
Filip, M. R., & Giustino, F.
Venue
Proceedings of the National Academy of Sciences
Published
2018-05-07
Volume
115
Issue
21
Pages
5397-5402
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2801443735
Cited by
260
References
4
FWCI
6.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The geometric blueprint of perovskites. https://app.cochat.ai/papers/10.1073/pnas.1719179115
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Filip, M. R., & Giustino, F. (2018). The geometric blueprint of perovskites. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1719179115

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.