跳到主要导航 跳到搜索 跳到主要内容

Ultralow switching voltage slope based on two-dimensional materials for integrated memory and neuromorphic applications

  • Linfeng Sun
  • , Genuwoo Hwang
  • , Wooseon Choi
  • , Gyeongtak Han
  • , Yishu Zhang
  • , Jinbao Jiang
  • , Shoujun Zheng
  • , Kenji Watanabe
  • , Takashi Taniguchi
  • , Mali Zhao
  • , Rong Zhao
  • , Young Min Kim
  • , Heejun Yang*
  • *此作品的通讯作者
  • Sungkyunkwan University
  • Singapore University of Technology and Design
  • National Institute for Materials Science Tsukuba

科研成果: 期刊稿件文章同行评审

摘要

To realize ultrafast and energy-efficient electronic devices, reducing the switching voltage slope for ON and OFF states that scales the supply voltage and device dimensions is critical. Novel device architectures based on two-dimensional (2D) materials have overcome the fundamental thermionic limit of the switching slope (60 mV/dec); however, a versatile switching device required for highly integrated memory and neuromorphic applications has not been achieved with such exceptional switching slope characteristics. Here, we demonstrate a switching voltage slope down to 0.62 mV/dec in a threshold switching device based on a vertical heterojunction of silver/hexagonal boron nitride (h-BN)/graphene. The sub-1 mV/dec switching slope for the first time, maintaining a high ON/OFF ratio (up to 1010), originates from the unique coupling between the migrated silver atoms and the chemically-inert graphene electrode through the 2D insulating h-BN. Moreover, our original switching device enables the evolution from a conventional volatile (threshold switching) to non-volatile memristive state by adequate voltage spikes, which is ideal for selector applications in highly integrated crossbar array architecture and in a novel synaptic device for neuromorphic computing.

源语言英语
期刊论文编号104472
期刊Nano Energy
69
DOI
出版状态已出版 - 3月 2020
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

学术指纹

探究 'Ultralow switching voltage slope based on two-dimensional materials for integrated memory and neuromorphic applications' 的科研主题。它们共同构成独一无二的学术指纹。

引用此