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

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.