基于有机半导体的新型人工突触装置:分子设计、结构与应用

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yunchao Xu, Yuan He, Dongyong Shan, Biao Zeng, Qian-Xi Ni
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引用次数: 0

摘要

在现代计算中,冯·诺伊曼架构面临着内存瓶颈等挑战,阻碍了大数据集和并发程序的有效处理。受大脑结构启发的神经形态计算作为一种有前途的替代方案出现,在消耗更少能量的同时提供无与伦比的计算能力。人工突触装置在这种范式转变中起着至关重要的作用。神经形态器件的材料体系从有机材料到无机材料已被广泛探索,其中有机材料以其优异的光电性能、材料选择的多样性和制备方法的多变性而备受关注。特别是有机半导体,它比过渡金属二硫族化合物更有优势,包括易于制备和柔韧性,使其适用于大面积有机薄膜。本文综述了近年来基于有机半导体的人工突触器件,讨论了有机半导体材料体系中的不同分支、各种制造方法、器件结构设计以及有机人工突触的应用。本文还概述了在基于有机半导体的人工系统中实现真正类似人类的动态感知的关键考虑因素和挑战,反映了神经形态计算的持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Emerging Artificial Synaptic Devices Based on Organic Semiconductors: Molecular Design, Structure and Applications

Emerging Artificial Synaptic Devices Based on Organic Semiconductors: Molecular Design, Structure and Applications
In modern computing, the Von Neumann architecture faces challenges such as the memory bottleneck, hindering efficient processing of large datasets and concurrent programs. Neuromorphic computing, inspired by the brain’s architecture, emerges as a promising alternative, offering unparalleled computational power while consuming less energy. Artificial synaptic devices play a crucial role in this paradigm shift. Various material systems, from organic to inorganic, have been explored for neuromorphic devices, with organic materials attracting attention for their excellent photoelectric properties, diverse material choices, and versatile preparation methods. Organic semiconductors, in particular, offer advantages over transition-metal dichalcogenides, including ease of preparation and flexibility, making them suitable for large-area organic films. This review focuses on emerging artificial synaptic devices based on organic semiconductors, discussing different branches within the organic semiconductor material system, various fabrication methods, device structure designs, and applications of organic artificial synapse. Critical considerations and challenges for achieving truly human-like dynamic perception in artificial systems based on organic semiconductors are also outlined, reflecting the ongoing evolution of neuromorphic computing.
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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