Perovskite-Nanowire-Array-Based Continuous-State Programmable Artificial Synapse for Neuromorphic Computing

Zhang，Yuting1; Ma，Zichao1,2; Chen，Zhesi1; Poddar，Swapnadeep1; Zhu，Yudong1,3; Han，Bing3; Chan，Chak Lam Jonathan1; Ding，Yucheng1; Kong，Xiangpeng4; Fan，Zhiyong1,5,6,7

2024-05-01

10.1002/aisy.202300586

Advanced Intelligent Systems   影响因子和分区

2640-4567

Perovskite-based memristors with tunable nonvolatile states are developed to mimic the synaptic interconnects of biological nervous systems and map neuromorphic computing networks to integrated circuits. To emulate the plasticity of synaptic structures, memristors with robust multilevel resistive states are fabricated in this work using high-density polycrystalline MAPbCl nanowires (NWs) array that vertically integrated using solution method. In particular, the fabricated memristors exhibit both short- and long-term plasticity and traits akin to biological synapses. A fabricated memristor device is precisely programmed to 18 resistive states and each state exhibits stable data retention of more than 100 000 s. Furthermore, a matrix processing unit using a 4-by-4 memristor array is fabricated as the hardware core of an encoder–decoder artificial neural network to demonstrate high accuracy and reliable in-image font conversion. The resistive states of the 16 memristors are precisely programmed to the corresponding resistance values for specific synaptic weights of the artificial-neural-network-trained offline. In addition, experimental characterization and first-principles simulations attribute the continuous programmability and high reliability features of the memristors to the confinement mechanisms of the horizontal grain-boundary structure in polycrystalline perovskite NWs.

artificial synapses nonvolatile multistates perovskite memristors vertical nanowires array

SCI ; EI

英语

其他

2-s2.0-85189145806

Scopus

1.Department of Electronic & Computer Engineering,The Hong Kong University of Science and Technology,Clear Water Bay, Kowloon, SAR,Hong Kong
2.School of Microelectronics,South China University of Technology,Guangzhou,No. 777, Xingye Avenue, Guangdong,511442,China
3.Department of Materials Science and Engineering,Southern University of Science and Technology,Shenzhen,No. 1088, Xueyuan Rd., Guangdong,518055,China
4.Shandong Institute for Product Quality Inspection,Jinan,Shandong,250100,China
5.Department of Electronic & Computer Engineering,State Key Laboratory of Advanced Displays and Optoelectronics Technologies,HKUST,Clear Water Bay, Kowloon, SAR,Hong Kong
6.Department of Chemical and Biological Engineering,The Hong Kong University of Science and Technology,Clear Water Bay, Kowloon, SAR,Hong Kong
7.Shanghai Artificial Intelligence Laboratory,Shanghai,China

Zhang，Yuting,Ma，Zichao,Chen，Zhesi,et al. Perovskite-Nanowire-Array-Based Continuous-State Programmable Artificial Synapse for Neuromorphic Computing[J]. Advanced Intelligent Systems,2024,6(5).

Zhang，Yuting.,Ma，Zichao.,Chen，Zhesi.,Poddar，Swapnadeep.,Zhu，Yudong.,...&Fan，Zhiyong.(2024).Perovskite-Nanowire-Array-Based Continuous-State Programmable Artificial Synapse for Neuromorphic Computing.Advanced Intelligent Systems,6(5).

Zhang，Yuting,et al."Perovskite-Nanowire-Array-Based Continuous-State Programmable Artificial Synapse for Neuromorphic Computing".Advanced Intelligent Systems 6.5(2024).