基于tpe - bt的供受体分子工程共轭桥用于优化电阻随机存取存储器

IF 8.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Xinwei Liu, Hong Lian*, Liang Zhao, Zhitao Qin, Tianxiao Xiao, Xinyu Jiang, Tianfu Guan, Shuanglong Wang*, Peter Müller-Buschbaum and Qingchen Dong*, 
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引用次数: 0

摘要

四种供体-受体(D-A)型有机小分子,即4,7-二(4-(1,2,2-三苯基乙烯基)苯基)苯并[c][1,2,5]噻二唑(TPE-BT), 4,7-二((4-(1,2,2-三苯基乙烯基)苯基)乙基)苯并[c][1,2,5]噻二唑(TPE-Th-BT), 4,7-二(5-(4-(1,2,2-三苯基乙烯基)苯基)噻吩-2-基)苯并[c][1,2,5]噻二唑(TPE-Th-BT))苯并[c][1,2,5]噻二唑(TPE-Th-BT))苯并[c][1,2,5]噻二唑(TPE-Th-BT),每一种都含有独特的共轭桥。合成,并集成到电阻随机存取存储器(RRAM)器件。电流-电压(I-V)测量表明,基于TPE-BT、TPE-ynl-BT和TPE-Th-BT的器件表现出写一次读多次(WORM)特性,而基于TPE-Th-ynl-BT的器件表现出稳定的闪现型开关行为。与TPE-BT相比,使用TPE-ynl-BT、TPE-Th-BT和TPE-Th-ynl-BT构建的存储器件(包括额外的共轭桥)具有降低阈值电压、更高离子/IOFF(104:1)、增强稳定性和改进再现性的非易失性存储能力。光物理、电化学分析和x射线衍射(XRD)结果表明,在分子结构中加入共轭桥可以提高数据存储性能,同时降低功耗。我们的研究结果表明,这些共轭桥在优化电记忆特性和电阻开关行为方面起着至关重要的作用。此外,用TPE-Th-ynl-BT制成的器件有效地应用于逻辑门电路和美国标准信息交换代码(ASCII)艺术功能,突出了其作为人工智能(AI)网络中的智能传感器的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Engineering Conjugated Bridges in TPE-BT-Based Donor–Acceptor Molecules for Optimized Resistive Random Access Memory

Engineering Conjugated Bridges in TPE-BT-Based Donor–Acceptor Molecules for Optimized Resistive Random Access Memory

Four donor–acceptor (D-A) type organic small molecules, namely, 4,7-bis(4-(1,2,2-triphenylvinyl)phenyl)benzo[c][1,2,5]thiadiazole(TPE-BT), 4,7-bis((4-(1,2,2-triphenylvinyl)phenyl)ethynyl)benzo[c][1,2,5]thiadiazole(TPE-ynl-BT), 4,7-bis(5-(4-(1,2,2-triphenylvinyl)phenyl)thiophen-2-yl)benzo[c][1,2,5]thiadiazole (TPE-Th-BT), and 4,7-bis((5-(4-(1,2,2-triphenylvinyl)phenyl)thiophen-2yl)ethynyl)benzo[c][1,2,5]thiadiazole(TPE-Th-ynl-BT), each incorporating unique conjugated bridges, are designed, synthesized, and integrated into resistive random access memory (RRAM) devices. Current–voltage (I–V) measurements indicate that the TPE-BT, TPE-ynl-BT and TPE-Th-BT based devices exhibit write-once-read-many-times (WORM) characteristics, while TPE-Th-ynl-BT based devices show a stable flash-type switching behavior. In comparison to TPE-BT, the memory devices constructed with TPE-ynl-BT, TPE-Th-BT and TPE-Th-ynl-BT, which include additional conjugated bridges, exhibit nonvolatile memory capabilities with reduced threshold voltages, higher ION/IOFF (104:1), enhanced stability, and improved reproducibility. The photophysical, electrochemical analyses, and X-ray diffraction (XRD) results reveal that incorporating conjugated bridges within molecular structures can enhance data storage performance while reducing power consumption. Our findings demonstrate that these conjugated bridges play a crucial role in optimizing electrical memory characteristics and resistive switching behavior. Moreover, the device fabricated with TPE-Th-ynl-BT is effectively applied to logic gate circuits and American Standard Code for Information Interchange (ASCII) art function, highlighting its promising potential as a smart sensor within artificial intelligence (AI) networks.

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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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