Flexible Memristor Based on Lead‐Free Cs<sub>2</sub>AgBiBr<sub>6</sub> Perovskite for Artificial Nociceptors and Information Security

Abstract The emergence of the artificial intelligence urgently requires novel devices to handle massive data and bionic simulations. As one of new generation memory devices, memristor has great potential in information storage and brain‐like learning due to its merits, such as low energy consumption, high speed and etc. In addition, the randomness for the generation and breakage of the conducting filaments in the memristor can generate the true random numbers and realize the image encryption. In this work, the ITO/Cs 2 AgBiBr 6 /Al based devices exhibit prominent resistance variation characteristics and long‐term environmental stability (≥6 months). Additionally, the flexible PET/ITO/Cs 2 AgBiBr 6 /Al devices are assembled and measured resistance variation properties, which are adopt to realize the cryptographic processing of image information. The synaptic plasticity of the memristor is also verified, including paired pulse facilitation and spiking timing‐dependent plasticity. Finally, nociceptive responses are also simulated with the memristor via imposing different voltage. Nociceptive characteristics including “threshold,” “relaxation,” and “sensitization” have been successfully determined. The work provides possibility for lead‐free flexible perovskite memristors in information security and biomimicry.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2024-09-09
DOI
https://doi.org/10.1002/adfm.202412375
Citations
29
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
6.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexible Memristor Based on Lead‐Free Cs2AgBiBr6 Perovskite for Artificial Nociceptors and Information Security

Jinxia Duan, Jie Tang, Jie Pan, Hao Wang et al.
29 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
6.05
article

Flexible Memristor Based on Lead‐Free Cs2AgBiBr6 Perovskite for Artificial Nociceptors and Information Security

Jinxia Duan, Jie Tang, Jie Pan, Hao Wang, Guokun Ma, Jun Zhang, Tao Li, Xiaoqing Li, Xiang Chen, Bowen Jiang, Zhijia Huang, Xiaoxin Pan, Haohan Qu, Houzhao Wan, Peixiong Wang
article en
29 citations

Abstract

Abstract The emergence of the artificial intelligence urgently requires novel devices to handle massive data and bionic simulations. As one of new generation memory devices, memristor has great potential in information storage and brain‐like learning due to its merits, such as low energy consumption, high speed and etc. In addition, the randomness for the generation and breakage of the conducting filaments in the memristor can generate the true random numbers and realize the image encryption. In this work, the ITO/Cs 2 AgBiBr 6 /Al based devices exhibit prominent resistance variation characteristics and long‐term environmental stability (≥6 months). Additionally, the flexible PET/ITO/Cs 2 AgBiBr 6 /Al devices are assembled and measured resistance variation properties, which are adopt to realize the cryptographic processing of image information. The synaptic plasticity of the memristor is also verified, including paired pulse facilitation and spiking timing‐dependent plasticity. Finally, nociceptive responses are also simulated with the memristor via imposing different voltage. Nociceptive characteristics including “threshold,” “relaxation,” and “sensitization” have been successfully determined. The work provides possibility for lead‐free flexible perovskite memristors in information security and biomimicry.

Advanced Functional MaterialsVol. 35(2)
Institute of Microelectronics (CN), Hubei University (CN)
Openalex Percentile: Top 3%
Advanced Memory and Neural Computing
6.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.