Dual‐Phase All‐Inorganic Cesium Halide Perovskites for Conducting‐Bridge Memory‐Based Artificial Synapses
Article 2019 en
Authors
SK
Sun Gil Kim
QL
Quyet Van Le
JH
Ji Su Han
Abstract
1 min read
Abstract Neuromorphic computing, which mimics biological neural networks, can overcome the high‐power and large‐throughput problems of current von Neumann computing. Two‐terminal memristors are regarded as promising candidates for artificial synapses, which are the fundamental functional units of neuromorphic computing systems. All‐inorganic CsPbI 3 perovskite‐based memristors are feasible to use in resistive switching memory and artificial synapses due to their fast ion migration. However, the ideal perovskite phase α‐CsPbI 3 is structurally unstable at ambient temperature and rapidly degrades to a non‐perovskite δ‐CsPbI 3 phase. Here, dual‐phase (Cs 3 Bi 2 I 9 ) 0.4 −(CsPbI 3 ) 0.6 is successfully fabricated to achieve improved air stability and surface morphology compared to each single phase. Notably, the Ag/polymethylmethacrylate/(Cs 3 Bi 2 I 9 ) 0.4 −(CsPbI 3 ) 0.6 /Pt device exhibits non‐volatile memory functions with an endurance of ≈10 3 cycles and retention of ≈10 4 s with low operation voltages. Moreover, the device successfully emulates synaptic behavior such as long‐term potentiation/depression and spike timing/width‐dependent plasticity. This study will contribute to improving the structural and mechanical stability of all‐inorganic halide perovskites (IHPs) via the formation of dual phase. In addition, it proves the great potential of IHPs for use in low‐power non‐volatile memory devices and electronic synapses.
Ji Su Han, Quyet Van Le, Hyojung Kim, Yoon Jung Lee, Da Eun Lee, In Hyuk Im, Min Kyung Lee, Seung Ju Kim, Jaehyun Kim, Kyung Ju Kwak, Min‐Ju Choi, Sol A Lee, Kootak Hong, Soo Young Kim, Soo Young Kim, Ho Won Jang
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