Ultrathin electronic synapse having high temporal/spatial uniformity and an Al2O3/graphene quantum dots/Al2O3 sandwich structure for neuromorphic computing

Autor: Fushan Li, Yueting Zheng, Tae Whan Kim, Hailong Hu, Chaoxing Wu, Tailiang Guo, Kaiyu Yang, Wei Chen, Zhongwei Xu, Fumin Ma
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: NPG Asia Materials, Vol 11, Iss 1, Pp 1-10 (2019)
ISSN: 1884-4057
1884-4049
Popis: An electronic synapse (e-synapse) based on memristive switching is a promising electronic element that emulates a biological synapse to realize neuromorphic computing. However, the complex resistive switching process it relies on hampers the reproducibility of its performance. Thus, achievement of a reproducible electronic synapse with a high rate of finished products has become a significant challenge in the development of an artificial intelligent circuit. Here, we demonstrate an ultrathin e-synapse having high yield (>95%), minimal performance variation, and extremely low power consumption based on an Al2O3/graphene quantum dots/Al2O3 sandwich structure that was fabricated using atomic layer deposition. The e-synapse showed both high device-to-device and cycle-to-cycle reproducibility with high stability, endurance, and switching uniformity, because the essential synaptic behaviors could be observed. This implementation of an e-synapse with an Al2O3/graphene quantum dots/Al2O3 structure should intensify motivation for engineering e-synapses for neuromorphic computing. Circuits that emulate the actions of biological synapses can be fabricated from devices known as quantum tunnel junctions. Fushan Li from China’s Fuzhou University, Tae Whan Kim from Korea’s Hanyang University, and colleagues produced an ‘e-synapse’ where a thin insulating film prevents electrons from moving through a circuit, except for a small number that jump across the barrier through quantum tunneling. When the researchers embedded graphene quantum dots in the film, they found that these nanoparticles switched the device between low and high resistance states by either trapping or releasing tunneling electrons. This allows the circuit to mimic certain functions of the brain; the gradual accumulation of electrons and their spontaneous release, for example, occurred on timeframes similar as seen in short-term memory loss. The team’s manufacturing scheme yielded devices with high stability and reproducibility. This article demonstrates an ultrathin e-synapse having high yield, minimal performance variation, and extremely low power consumption based on a Al2O3/graphene quantum dots/Al2O3 sandwich structure that was fabricated by using atomic layer deposition. It showed both high device-to-device and cycle-to-cycle reproducibility with high stability, endurance, and switching uniformity, because of which the essential synaptic behaviors could be observed. This implementation of an e-synapse with an Al2O3/graphene quantum dots/Al2O3 structure should intensify motivation for engineering e-synapses for neuromorphic computing.
Databáze: OpenAIRE