Guided Search to Self-Healing in Semiconductors

Alexandre Py-Renaudie, Yahel Soffer, Pallavi Singh, Sujit Kumar, Davide R. Ceratti, Yuval Mualem, Irit Rosenhek-Goldian, Dan Oron, Sidney R. Cohen, Philip Schulz, David Cahen, Jean François Guillemoles

Research output: Contribution to journalArticlepeer-review

Abstract

Self-healing (SH) of (opto)electronic material damage can have a huge impact on resource sustainability. The rising interest in halide perovskite (HaP) compounds over the past decade is due to their excellent semiconducting properties for crystals and films, even if made by low-temperature solution-based processing. Direct proof of self-healing in Pb-based HaPs is demonstrated through photoluminescence recovery from photodamage, fracture healing and their use as high-energy radiation and particle detectors. Here, the question of how to find additional semiconducting materials exhibiting SH, in particular lead-free ones is addressed. Applying a data-mining approach to identify semiconductors with favorable mechanical and thermal properties, for which Pb HaPs are clear outliers, it is found that the Cs2AuIAuIIIX6, (X = I, Br, Cl) family, which is synthesized and tested for SH. This is the first demonstration of self-healing of Pb-free inorganic HaP thin films, by photoluminescence recovery.

Original languageEnglish
Article number2309107
JournalAdvanced Functional Materials
Volume34
Issue number11
DOIs
StatePublished - 11 Mar 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Advanced Functional Materials published by Wiley-VCH GmbH.

Keywords

  • data mining
  • gold halide perovoskites
  • photovoltaic
  • self-healing
  • thin films

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