Multifunctional Self-Combustion Additives Strategy to Fabricate Highly Responsive Hybrid Perovskite Photodetectors

Sunihl Ma, Gyumin Jang, Seongchan Kim, Hyeok Chan Kwon, Sukyoung Goh, Hayeon Ban, Jeong Ho Cho, Jooho Moon

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


To resolve the inherent trade-off issue between responsivity and detectivity in FA0.9Cs0.1PbI3 perovskite photodetectors, this paper proposes a novel strategy using multifunctional self-combustion additives (urea and ammonium nitrate). During the early stages of crystallization, urea allows for the formation of a strong Lewis complex-derived low-dimensional intermediate phase; this suppresses the formation of perovskite nuclei, while ammonium ions assist the preferred grain growth along the [110] direction. During the high-temperature annealing steps, a self-combusting exothermic reaction occurs between urea as a fuel and NH4NO3 as an oxidizer, through which a locally supplied heat facilitates the removal of residual urea and byproducts. These multifunctional roles of self-combustible additives facilitate the production of high-quality, enlarged grain-structured perovskite films with improved optoelectronic properties, as confirmed by various analyses, including impedance spectroscopy and intensity-modulated photocurrent spectroscopy. The resulting FA0.9Cs0.1PbI3-based photodiode-type photodetectors exhibit outstanding performance, such as a high responsivity (0.762 A W-1) and specific detectivity (over 5.08 × 1013 Jones) at a very low external reverse bias (-0.5 V). Our findings clearly suggest that the multifunctional self-combustion additives strategy could help realize the full potential of FA1-xCsxPbI3 as a photodiode-type photodetector.

Original languageEnglish
Pages (from-to)41674-41686
Number of pages13
JournalACS Applied Materials and Interfaces
Issue number37
Publication statusPublished - 2020 Sept 16

Bibliographical note

Publisher Copyright:
Copyright © 2020 American Chemical Society.

All Science Journal Classification (ASJC) codes

  • General Materials Science


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