Artificial Synapses: A Reliable All‐2D Materials Artificial Synapse for High Energy‐Efficient Neuromorphic Computing (Adv. Funct. Mater. 27/2021)

作者：Tang Jian; He Congli; Tang Jianshi; Yue Kun; Zhang Qingtian; Liu Yizhou; Wang Qinqin; Wang Shuopei; Li Na; Shen Cheng; Zhao Yanchong; Liu Jieying; Yuan Jiahao; Wei Zheng; Li Jiawei; Watanabe Kenji; Taniguchi Takashi; Shang Dashan; Wang Shouguo; Yang Wei; Yang Rong; Shi Dongxia; Zhang Guangyu

来源：Advanced Functional Materials, 2021, 31(27): 2170197.

DOI：10.1002/adfm.202170197

• 2D materials
• artificial synapse
• linear weight update
• MoS 2

In article number 2011083, Congli He, Guangyu Zhang, and co‐workers report an all‐2D materials two‐terminal floating‐gate memory as an artificial synapse device for high energy‐efficient neuromorphic computing. It exhibits linear and symmetric weight update behaviors with high reliability and tunability. A large number of states up to 3000, high switching speed of 40 ns, and low energy consumption of 18 fJ for a single pulse event are realized, demonstrating great potential for high‐speed and low‐power neuromorphic computing applications.

• 单位
  清华大学; 中国科学院大学