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Hybrid organic–inorganic halide perovskites for scaled-in neuromorphic devices

Published online by Cambridge University Press:  10 August 2020

P.C. Harikesh
Affiliation:
Nanyang Technological University, Singapore; harikesh001@e.ntu.edu.sg
Benny Febriansyah
Affiliation:
Nanyang Technological University, Singapore; benn0005@e.ntu.edu.sg
Rohit Abraham John
Affiliation:
Nanyang Technological University, Singapore; rohitabrahamjohn@ntu.edu.sg
Nripan Mathews
Affiliation:
Nanyang Technological University, Singapore; Nripan@ntu.edu.sg
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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.

Type
Organic Semiconductors for Brain-Inspired Computing
Copyright
Copyright © Materials Research Society 2020

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