Iodide-Coated CsPbBr <sub>3</sub> Perovskite Nanowires for Resistive-Switching Memory in Neuromorphic Systems and Edge Computing

The rapid growth of data-driven technologies highlights the inefficiency of von Neumann architecture for large-scale parallel processing. Neuromorphic computing offers a promising alternative using synaptic memory elements capable of analog modulation. Here, we report a surface-engineered CsPbBr<sub>3</sub> perovskite nanowire (PNW) platform for high-performance memristors. By removing insulating ligands and introducing surface-selective iodide passivation, we suppress bromide-related defects and promote stable filament formation. The devices exhibit reliable bipolar switching, multilevel conductance, and robust potentiation/depression. These memristors further demonstrate brain-inspired functions including time-dependent plasticity, Pavlovian learning, and 91.6% recognition accuracy on the EMNIST data set. Additionally, the devices enable low-latency 4-bit edge computing, validating their potential for energy-efficient intelligent hardware. This work establishes colloidal CsPbBr<sub>3</sub> PNWs as a scalable platform for next-generation neuromorphic applications.

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Publication Details

Journal
Nano Letters
Published
2026-03-03
DOI
https://doi.org/10.1021/acs.nanolett.5c06511
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Iodide-Coated CsPbBr 3 Perovskite Nanowires for Resistive-Switching Memory in Neuromorphic Systems and Edge Computing

S Kim, Jae Kook Uhm, Min-Jae Choi, Seungman Park et al.
Nano Letters
Advanced Memory and Neural Computing
article

Iodide-Coated CsPbBr 3 Perovskite Nanowires for Resistive-Switching Memory in Neuromorphic Systems and Edge Computing

S Kim, Jae Kook Uhm, Min-Jae Choi, Seungman Park, Yongjin Byun
article en

Abstract

The rapid growth of data-driven technologies highlights the inefficiency of von Neumann architecture for large-scale parallel processing. Neuromorphic computing offers a promising alternative using synaptic memory elements capable of analog modulation. Here, we report a surface-engineered CsPbBr<sub>3</sub> perovskite nanowire (PNW) platform for high-performance memristors. By removing insulating ligands and introducing surface-selective iodide passivation, we suppress bromide-related defects and promote stable filament formation. The devices exhibit reliable bipolar switching, multilevel conductance, and robust potentiation/depression. These memristors further demonstrate brain-inspired functions including time-dependent plasticity, Pavlovian learning, and 91.6% recognition accuracy on the EMNIST data set. Additionally, the devices enable low-latency 4-bit edge computing, validating their potential for energy-efficient intelligent hardware. This work establishes colloidal CsPbBr<sub>3</sub> PNWs as a scalable platform for next-generation neuromorphic applications.

Nano LettersVol. 26(10)
Dongguk University (KR), Sungkyunkwan University (KR)
Affordable and clean energy
Openalex Percentile: Top 39%
Advanced Memory and Neural Computing
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