Compositional Engineering of Monocrystalline Metal Halide Perovskite Memristors for Multistate Non‐Volatile Operation

Abstract Metal halide perovskite (MHP) memristors hold great promise for next‐generation memory and neuromorphic computing. However, challenges such as stability and endurance hinder both their performance and a deeper understanding of their working mechanisms. Advances in thin monocrystalline MHP memristors have demonstrated improved endurance due to the absence of grain boundaries, which makes them an ideal platform for systematically identifying key factors influencing device performance. Thus, evaluating the compositional effects on monocrystalline MHP memristors within a consistent device architecture serves as a powerful approach to deepen understanding of the system and guide the development of application‐oriented devices. This strategy is used to fabricate the first memristor based on a mixed‐halide thin perovskite monocrystal, which enables multistate non‐volatile memristive operation. Furthermore, precise compositional engineering allows control over defect density, which affects the materials’ ionic properties and determines key device performance parameters. This study unlocks multistate properties in non‐volatile memristors and provides critical insights into defect density effects, paving the way for high‐density storage in neuromorphic computing.

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Publication Details

Journal
Advanced Electronic Materials
Published
2025-11-19
DOI
https://doi.org/10.1002/aelm.202500494
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Compositional Engineering of Monocrystalline Metal Halide Perovskite Memristors for Multistate Non‐Volatile Operation

Pedro Atienzar, Teresa S. Ripollés, Ismael Fernández-Guillen, Pablo P. Boix et al.
Advanced Electronic Materials
Advanced Memory and Neural Computing
article

Compositional Engineering of Monocrystalline Metal Halide Perovskite Memristors for Multistate Non‐Volatile Operation

Pedro Atienzar, Teresa S. Ripollés, Ismael Fernández-Guillen, Pablo P. Boix, Clara Aranda, Rafael Abargues, Miriam Mínguez-Avellán
article en

Abstract

Abstract Metal halide perovskite (MHP) memristors hold great promise for next‐generation memory and neuromorphic computing. However, challenges such as stability and endurance hinder both their performance and a deeper understanding of their working mechanisms. Advances in thin monocrystalline MHP memristors have demonstrated improved endurance due to the absence of grain boundaries, which makes them an ideal platform for systematically identifying key factors influencing device performance. Thus, evaluating the compositional effects on monocrystalline MHP memristors within a consistent device architecture serves as a powerful approach to deepen understanding of the system and guide the development of application‐oriented devices. This strategy is used to fabricate the first memristor based on a mixed‐halide thin perovskite monocrystal, which enables multistate non‐volatile memristive operation. Furthermore, precise compositional engineering allows control over defect density, which affects the materials’ ionic properties and determines key device performance parameters. This study unlocks multistate properties in non‐volatile memristors and provides critical insights into defect density effects, paving the way for high‐density storage in neuromorphic computing.

Advanced Electronic MaterialsVol. 11(20)
Parc Científic de la Universitat de València (ES), Instituto de Tecnología Química (ES), Universidad Pablo de Olavide (ES)
Openalex Percentile: Top 65%
Advanced Memory and Neural Computing
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