Suppr超能文献

金属卤化物钙钛矿忆阻器的进展:基于协同设计视角的综述

Advances in Metal Halide Perovskite Memristors: A Review from a Co-Design Perspective.

作者信息

Jiang Bowen, Chen Xiang, Pan Xiaoxin, Tao Li, Huang Yuangqiang, Tang Jiahao, Li Xiaoqing, Wang Peixiong, Ma Guokun, Zhang Jun, Wang Hao

机构信息

Hubei Yangtze Memory Laboratories, Wuhan, 430205, China.

Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan, 430062, China.

出版信息

Adv Sci (Weinh). 2025 Jan;12(2):e2409291. doi: 10.1002/advs.202409291. Epub 2024 Nov 19.

Abstract

The memristor has recently demonstrated considerable potential in the field of large-scale data information processing. Metal halide perovskites (MHPs) have emerged as the leading contenders for memristors due to their sensitive optoelectronic response, low power consumption, and ability to be prepared at low temperatures. This work presents a comprehensive enumeration and analysis of the predominant research advancements in mechanisms of resistance switch (RS) behaviors in MHPs-based memristors, along with a summary of useful characterization techniques. The impact of diverse optimization techniques on the functionality of perovskite memristors is examined and synthesized. Additionally, the potential of MHPs memristors in data processing, physical encryption devices, artificial synapses, and brain-like computing advancement of MHPs memristors is evaluated. This review can prove a valuable reference point for the future development of perovskite memristors applications. In conclusion, the current challenges and prospects of MHPs-based memristors are discussed in order to provide insights into potential avenues for the development of next-generation information storage technologies and biomimetic applications.

摘要

忆阻器最近在大规模数据信息处理领域展现出了巨大潜力。金属卤化物钙钛矿(MHPs)因其灵敏的光电响应、低功耗以及能够在低温下制备的特性,已成为忆阻器的主要竞争者。本文全面列举并分析了基于MHPs的忆阻器中电阻开关(RS)行为机制的主要研究进展,同时总结了有用的表征技术。研究并综合了各种优化技术对钙钛矿忆阻器功能的影响。此外,评估了MHPs忆阻器在数据处理、物理加密设备、人工突触以及类脑计算方面的潜力。这篇综述可为钙钛矿忆阻器应用的未来发展提供有价值的参考点。总之,讨论了基于MHPs的忆阻器当前面临的挑战和前景,以便为下一代信息存储技术和仿生应用的潜在发展途径提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e142/11727241/5cf60ca666b1/ADVS-12-2409291-g016.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验