Atomically-thin Femtojoule Filamentary Memristor

Huan Zhao; Zhipeng Dong; He Tian; Don DiMarzio; Myung-Geun Han; Lihua Zhang; Xiaodong Yan; Fanxin Liu; Lang Shen; Shu-jen Han; Steve Cronin; Wei Wu; Jesse Tice; Jing Guo; Han Wang

arXiv · 1709.04062

Atomically-thin Femtojoule Filamentary Memristor

Huan Zhao·Zhipeng Dong·He Tian·Don DiMarzio·Myung-Geun Han·Lihua Zhang·Xiaodong Yan·Fanxin Liu·Lang Shen·Shu-jen Han·Steve Cronin·Wei Wu·Jesse Tice·Jing Guo·Han Wang

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Abstract

The morphology and dimension of the conductive filament formed in a memristive device are strongly influenced by the thickness of its switching medium layer. Aggressive scaling of this active layer thickness is critical towards reducing the operating current, voltage and energy consumption in filamentary type memristors. Previously, the thickness of this filament layer has been limited to above a few nanometers due to processing constraints, making it challenging to further suppress the on-state current and the switching voltage. Here, we study the formation of conductive filaments in a material medium with sub-nanometer thickness, formed through the oxidation of atomically-thin two-dimensional boron nitride. The resulting memristive device exhibits sub-nanometer filamentary switching with sub-pA operation current and femtojoule per bit energy consumption. Furthermore, by confining the filament to the atomic scale, we observe current switching characteristics that are distinct from that in thicker medium due to the profoundly different atomic kinetics. The filament morphology in such an aggressively scaled memristive device is also theoretically explored. These ultra-low energy devices are promising for realizing femtojoule and sub-femtojoule electronic computation, which can be attractive for applications in a wide range of electronics systems that desire ultra-low power operation.

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Huan Zhao, Zhipeng Dong, He Tian, Don DiMarzio, Myung-Geun Han, Lihua Zhang, Xiaodong Yan, Fanxin Liu, Lang Shen, Shu-jen Han, Steve Cronin, Wei Wu, Jesse Tice, Jing Guo, Han Wang. 2017-09-12. Atomically-thin Femtojoule Filamentary Memristor. https://arxiv.org/abs/1709.04062

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