Synaptic Barristor Based on Phase-Engineered 2D Heterostructures

Woong Huh, Seonghoon Jang, Jae Yoon Lee, Donghun Lee, Donghun Lee, Jung Min Lee, Hong-Gyu Park, Jong Chan Kim, Hu Young Jeong, Gunuk Wang, Chul-Ho Lee

Research output: Contribution to journalArticle

25 Citations (Scopus)


The development of energy-efficient artificial synapses capable of manifoldly tuning synaptic activities can provide a significant breakthrough toward novel neuromorphic computing technology. Here, a new class of artificial synaptic architecture, a three-terminal device consisting of a vertically integrated monolithic tungsten oxide memristor, and a variable-barrier tungsten selenide/graphene Schottky diode, termed as a 'synaptic barrister,' are reported. The device can implement essential synaptic characteristics, such as short-term plasticity, long-term plasticity, and paired-pulse facilitation. Owing to the electrostatically controlled barrier height in the ultrathin van der Waals heterostructure, the device exhibits gate-controlled memristive switching characteristics with tunable programming voltages of 0.2-0.5 V. Notably, by electrostatic tuning with a gate terminal, it can additionally regulate the degree and tuning rate of the synaptic weight independent of the programming impulses from source and drain terminals. Such gate tunability cannot be accomplished by previously reported synaptic devices such as memristors and synaptic transistors only mimicking the two-neuronal-based synapse. These capabilities eventually enable the accelerated consolidation and conversion of synaptic plasticity, functionally analogous to the synapse with an additional neuromodulator in biological neural networks.

Original languageEnglish
JournalAdvanced Materials
Publication statusAccepted/In press - 2018 Jan 1



  • 2D materials
  • Artificial synapse
  • Barristor
  • Heterostructure
  • Memristor
  • Neuromorphic application

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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