From solar cells to memristors: halide perovskites as a platform for neuromorphic electronics

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Authors: Natalia Yantara, Xuechao Xing, Divyam Sharma, Darrell Jun Jie Tay, Shibi Varku, Nripan Mathews
Cited by: 11
References: 383

Abstract

Halide perovskites are widely recognized for optoelectronic devices such as photodetectors, photovoltaics, and light emitting diodes. Crucially, their unique characteristic as a mixed ionic-electronic semiconductor has recently positioned them as a highly promising material for neuromorphic computing, which necessitates a dedicated review of this rapidly emerging field. This comprehensive review first correlates the relationship between the perovskite's crystal structure and its resulting optoelectronic and ionic properties, which underpins memristor functionality. We then systematically discuss the figure of merit, operating mechanisms, and characterization techniques for halide perovskite memristors. After critically reviewing the state-of-the-art devices, we analyze the critical gap between lab-scale systems and real-world applications, specifically tackling the challenges of crossbar array implementation and discussing various neuromorphic applications. Finally, we detail an outlook, highlighting persistent hurdles like endurance and stability as well as identifying key research directions, such as high-throughput experimentation and customizing devices based on the necessary trade-off between response time, energy, and retention to realize practical, next-generation neuromorphic hardware.

Fields of Study & Subjects

Perovskite Materials and Applications Advanced Memory and Neural Computing 2D Materials and Applications

Publication details

Journal / source
Chemical Society Reviews
Publisher
Royal Society of Chemistry (RSC)
Volume
55
Issue
4
Pages
2145–2228
Publication date
1 January 2026
Language
EN