4.8 Article

The geometric blueprint of perovskites

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1719179115

关键词

perovskites; structure prediction; Goldschmidt; data mining; materials design

资金

  1. Leverhulme Trust [RL-2012-001]
  2. Graphene Flagship [696656-GrapheneCorel]
  3. UK Engineering and Physical Sciences Research Council [EP/M020517/1]
  4. EPSRC [EP/M020517/1] Funding Source: UKRI

向作者/读者索取更多资源

Perovskite minerals form an essential component of the Earth's mantle, and synthetic crystals are ubiquitous in electronics, photonics, and energy technology. The extraordinary chemical diversity of these crystals raises the question of how many and which perovskites are yet to be discovered. Here we show that the no-rattling principle postulated by Goldschmidt in 1926, describing the geometric conditions under which a perovskite can form, is much more effective than previously thought and allows us to predict perovskites with a fidelity of 80%. By supplementing this principle with inferential statistics and internet data mining we establish that currently known perovskites are only the tip of the iceberg, and we enumerate 90,000 hitherto-unknown compounds awaiting to be studied. Our results suggest that geometric blueprints may enable the systematic screening of millions of compounds and offer untapped opportunities in structure prediction and materials design.

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