journal article·2024-09-25

All-Inorganic CsPbBr3 Perovskite Planar-Type Memristors as Optoelectronic Synapses

Zehan Liu, Pengpeng Cheng, Ruyan Kang, Jian Zhou, Xiaoshan Wang, Xian Zhao, Jia Zhao, Zhiyuan Zuo

ACS Applied Materials & Interfaces· Volume 16· Issue 38
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Abstract

Mimicking fundamental synaptic working principles with memristors contributes an essential step toward constructing brain-inspired, high-efficiency neuromorphic systems that surpass von Neumann system computers. Here, an electroforming-free planar-type memristor based on a CsPbBr 3 single crystal is proposed and exhibits excellent resistive switching (RS) behaviors including stable endurance, ultralow power consumption, and fast switching speed. Furthermore, an optically tunable RS performance is demonstrated by manipulating irradiation intensity and wavelength. Optical analysis techniques such as steady-state photoluminescence and time-resolved photoluminescence are employed to investigate the distribution of Br ions and vacancies before and after quantitative polarization, describing migration dynamic processes to elucidate the RS mechanism. Importantly, a CsPbBr 3 single crystal, as the optoelectronic synapse, shows unique potential to emulate photoenhanced synaptic functions such as excitatory postsynaptic current, paired-pulse facilitation, long-term potentiation/depression, spike-timing-dependent plasticity, spike-voltage-dependent plasticity, and learning–forgetting–relearning process with ultralow per synapse event energy consumption. A classical Pavlov’s dog experiment is simulated with a combination of optical and electrical stimulation. Finally, pattern recognition with simulated artificial neural networks based on our synapse reached an accuracy of 93.11%. The special strategy and superior RS characteristics of optoelectronic synapses provide a pathway toward high-performance, energy-efficient neuromorphic electronics.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Advanced Memory and Neural Computing · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Optics Research and Engineering, Shandong University, Qingdao 266237, P. R. China

Key Laboratory of Laser & Infrared System (Shandong University), Ministry of Education, Shandong University, Qingdao 266237, P. R. China

Institute of Novel Semiconductors, Shandong University, Jinan 250100, P. R. China

School of Information Science and Engineering, Shandong University, Qingdao 266237, P. R. China

Funding

National Key Research and Development Program of China · Shandong University · National Natural Science Foundation of China · Natural Science Foundation of Shandong Province

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