Abstract
Hybrid organic-inorganic halide perovskites have been recently explored as memristive devices that can be programmed to two or more stable conductance states for analog computing. The wide variety and range of optoelectronic phenomena these materials portray offer immense potential to develop scaled-in neuromorphic devices and architectures with multibit memory storage and multimodal accessibility. This article provides a general summary of the structural and optoelectronic characteristics of this material class that could be utilized for neuromorphic computing, discusses insights into the underlying switching mechanisms, and reviews recent developments in the field of halide perovskite-based neuromorphic devices.
Original language | English |
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Pages (from-to) | 641-648 |
Number of pages | 8 |
Journal | MRS Bulletin |
Volume | 45 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 1 2020 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:Copyright © Materials Research Society 2020.
ASJC Scopus Subject Areas
- General Materials Science
- Condensed Matter Physics
- Physical and Theoretical Chemistry