Chen Weizhen, Mou Zongxia, Xin Yijia, Li Haichuan, Wang Tianqi, Chen Yaofei, Chen Lei, Yang Bo-Ru, Chen Zhe, Luo Yunhan, Liu Gui-Shi
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Key Laboratory of Visible Light Communications of Guangzhou, Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Key Laboratory of Biomaterials of Guangdong Higher Education Institutes, Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China.
ACS Appl Mater Interfaces. 2024 Feb 7;16(5):6057-6067. doi: 10.1021/acsami.3c15351. Epub 2024 Jan 29.
Silver nanowire (AgNW) networks with self-assembled structures and synaptic connectivity have been recently reported for constructing neuromorphic memristors. However, resistive switching at the cross-point junctions of the network is unstable due to locally enhanced Joule heating and the Gibbs-Thomson effect, which poses an obstacle to the integration of threshold switching and memory function in the same AgNW memristor. Here, fragmented AgNW networks combined with Ag nanoparticles (AgNPs) and mercapto self-assembled monolayers (SAMs) are devised to construct memristors with stable threshold switching and memory behavior. In the above design, the planar gaps between NW segments are for resistive switching, the AgNPs act as metal islands in the gaps to reduce threshold voltage () and holding voltage (), and the SAMs suppress surface atom diffusion to avoid Oswald ripening of the AgNPs, which improves switching stability. The fragmented NW-NP/SAM memristors not only circumvent the side effects of conventional NW-stacked junctions to provide durable threshold switching at > but also exhibit synaptic characteristics such as long-term potentiation at ultralow voltage (≪). The combination of NW segments, nanoparticles, and SAMs blazes a new trail for integrating artificial neurons and synapses in AgNW network memristors.
最近有报道称,具有自组装结构和突触连接性的银纳米线(AgNW)网络可用于构建神经形态忆阻器。然而,由于局部焦耳热增强和吉布斯-汤姆逊效应,网络交叉点处的电阻开关不稳定,这对在同一AgNW忆阻器中集成阈值开关和记忆功能构成了障碍。在此,设计了与银纳米颗粒(AgNP)和巯基自组装单分子层(SAM)相结合的碎片化AgNW网络,以构建具有稳定阈值开关和记忆行为的忆阻器。在上述设计中,NW段之间的平面间隙用于电阻开关,AgNP在间隙中充当金属岛以降低阈值电压()和保持电压(),而SAM抑制表面原子扩散以避免AgNP的奥斯特瓦尔德熟化,从而提高开关稳定性。碎片化的NW-NP/SAM忆阻器不仅规避了传统NW堆叠结的副作用,以在>时提供持久的阈值开关,而且还表现出突触特性,如在超低压(≪)下的长期增强。NW段、纳米颗粒和SAM的组合为在AgNW网络忆阻器中集成人工神经元和突触开辟了一条新途径。