灵活性(工程)
神经形态工程学
计算机数据存储
记忆电阻器
电阻随机存取存储器
纳米技术
计算机科学
材料科学
非易失性存储器
聚合物
电阻式触摸屏
半导体存储器
计算机存储器
计算机体系结构
嵌入式系统
计算机硬件
电气工程
工程类
电压
人工智能
复合材料
统计
人工神经网络
数学
计算机视觉
作者
Bixin Li,Shiyang Zhang,Lan Xu,Qiong Su,Bin Du
出处
期刊:Polymers
[Multidisciplinary Digital Publishing Institute]
日期:2023-11-10
卷期号:15 (22): 4374-4374
被引量:9
标识
DOI:10.3390/polym15224374
摘要
Facing the era of information explosion and the advent of artificial intelligence, there is a growing demand for information technologies with huge storage capacity and efficient computer processing. However, traditional silicon-based storage and computing technology will reach their limits and cannot meet the post-Moore information storage requirements of ultrasmall size, ultrahigh density, flexibility, biocompatibility, and recyclability. As a response to these concerns, polymer-based resistive memory materials have emerged as promising candidates for next-generation information storage and neuromorphic computing applications, with the advantages of easy molecular design, volatile and non-volatile storage, flexibility, and facile fabrication. Herein, we first summarize the memory device structures, memory effects, and memory mechanisms of polymers. Then, the recent advances in polymer resistive switching materials, including single-component polymers, polymer mixtures, 2D covalent polymers, and biomacromolecules for resistive memory devices, are highlighted. Finally, the challenges and future prospects of polymer memory materials and devices are discussed. Advances in polymer-based memristors will open new avenues in the design and integration of high-performance switching devices and facilitate their application in future information technology.
科研通智能强力驱动
Strongly Powered by AbleSci AI