Mechanistic Understanding of the Stochastic Nature of Filamentary Switching in CsFAPbI <sub>3</sub> Perovskite‐Based Memristors

ABSTRACT Perovskite memristors are redefining the landscape of memory storage and neuromorphic computing by combining rich ion dynamics, ultralow voltage switching, cost‐effective solution processability, and excellent scalability within a single material platform. Harnessing their intrinsic stochasticity in conductive filamentary switching provides a physical route to true random number generation and a unique window into the fundamental physics of resistive switching. Herein, we investigate solution‐processed ITO/Cs 0.1 FA 0.9 PbI 3 /Ag organic–inorganic hybrid halide perovskite (OIHP) memristors that exhibit low voltage switching (∼0.29 V) with distinct cumulative function (∼100x) between ON/OFF states, demonstrating stability of 10 3 cycles and providing a clear mechanism of OIHP‐based memristors, thereby advancing fundamentals of next‐generation neuromorphic computing and practical hurdles in electronics hardware. Investigating the elemental analysis at the buried interface via X‐ray photoelectron spectroscopy (XPS) and energy dispersive X‐ray spectroscopy (EDX) reveal previously overlooked and underexplored phenomena at the ITO‐perovskite junction, offering essential understanding into the switching mechanism. Additionally, pulse stress testing with sharp 500 µs‐wide excitation demonstrates robust endurance and concurrently exposing the intrinsic complexity and dynamic unpredictability of filamentary interactions. These results unveil the mechanistic understanding of FA‐based OIHP memristors and also provide vital insights into their potential in large‐scale, brain‐inspired architectures for neuromorphic computing and secure information processing.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-01-26
DOI
https://doi.org/10.1002/adfm.202524526
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Mechanistic Understanding of the Stochastic Nature of Filamentary Switching in CsFAPbI 3 Perovskite‐Based Memristors

Ramkrishna Das Adhikari, Mayur Jagdishbhai Patel, Mizanur Alam, Deepak Yadav et al.
Advanced Functional Materials
Advanced Memory and Neural Computing
article

Mechanistic Understanding of the Stochastic Nature of Filamentary Switching in CsFAPbI 3 Perovskite‐Based Memristors

Ramkrishna Das Adhikari, Mayur Jagdishbhai Patel, Mizanur Alam, Deepak Yadav, Manab Kalita, Himangshu Baishya, Parameswar Krishnan Iyer
article en

Abstract

ABSTRACT Perovskite memristors are redefining the landscape of memory storage and neuromorphic computing by combining rich ion dynamics, ultralow voltage switching, cost‐effective solution processability, and excellent scalability within a single material platform. Harnessing their intrinsic stochasticity in conductive filamentary switching provides a physical route to true random number generation and a unique window into the fundamental physics of resistive switching. Herein, we investigate solution‐processed ITO/Cs 0.1 FA 0.9 PbI 3 /Ag organic–inorganic hybrid halide perovskite (OIHP) memristors that exhibit low voltage switching (∼0.29 V) with distinct cumulative function (∼100x) between ON/OFF states, demonstrating stability of 10 3 cycles and providing a clear mechanism of OIHP‐based memristors, thereby advancing fundamentals of next‐generation neuromorphic computing and practical hurdles in electronics hardware. Investigating the elemental analysis at the buried interface via X‐ray photoelectron spectroscopy (XPS) and energy dispersive X‐ray spectroscopy (EDX) reveal previously overlooked and underexplored phenomena at the ITO‐perovskite junction, offering essential understanding into the switching mechanism. Additionally, pulse stress testing with sharp 500 µs‐wide excitation demonstrates robust endurance and concurrently exposing the intrinsic complexity and dynamic unpredictability of filamentary interactions. These results unveil the mechanistic understanding of FA‐based OIHP memristors and also provide vital insights into their potential in large‐scale, brain‐inspired architectures for neuromorphic computing and secure information processing.

Advanced Functional Materials
Indian Institute of Technology Guwahati (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Indian Council of Medical Research, Department of Electronics and Information Technology, Ministry of Communications and Information Technology, Max-Planck-Gesellschaft, Indian Institute of Technology Guwahati, Indo-German Science and Technology Centre, Science and Engineering Research Board, North East Centre for Biological Sciences and Healthcare Engineering, Indian Institute of Technology Guwahati
Openalex Percentile: Top 76%
Advanced Memory and Neural Computing
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