Vertical‐organic‐nanocrystal‐arrays for crossbar memristors with tuning switching dynamics toward neuromorphic computing

Autor: Xiaotao Zhang, Rongjin Li, Yuchao Yang, Fangxu Yang, Lingjie Sun, Qingxi Duan, Zhaokun Jing, Leon O. Chua, Huanli Dong, Wenping Hu
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: SmartMat, Vol 2, Iss 1, Pp 99-108 (2021)
Popis: Memristors proposed by Leon Chua provide a new type of memory device for novel neuromorphic computing applications. However, the approaching of distinct multi‐intermediate states for tunable switching dynamics, the controlling of conducting filaments (CFs) toward high device repeatability and reproducibility, and the ability for large‐scale preparation devices, remain full of challenges. Here, we show that vertical‐organic‐nanocrystal‐arrays (VONAs) could make a way toward the challenges. The perfect one‐dimensional structure of the VONAs could confine the CFs accurately with fine‐tune resistance states in a broad range of 103 ratios. The availability of large‐area VONAs makes the fabrication of large‐area crossbar memristor arrays facilely, and the analog switching characteristic of the memristors is to effectively imitate different kinds of synaptic plasticity, indicating their great potential in future applications.
Databáze: OpenAIRE