电阻随机存取存储器
材料科学
动力学蒙特卡罗方法
钨
扩散
二硫化钼
活化能
化学气相沉积
动能
蒙特卡罗方法
二硫化钨
电阻式触摸屏
纳米技术
凝聚态物理
电压
热力学
复合材料
物理化学
冶金
电气工程
物理
统计
工程类
量子力学
化学
数学
作者
Ying-Chuan Chen,Yu-Ting Chao,Edward Chen,Chao‐Hsin Wu,Yuh‐Renn Wu
标识
DOI:10.1103/physrevmaterials.7.094001
摘要
Resistive memory based on two-dimensional (2D) tungsten disulfide (${\mathrm{WS}}_{2}$), molybdenum disulfide (${\mathrm{MoS}}_{2}$), and hexagonal boron nitride (h-BN) materials is studied via experiments and simulations. The influence of the active layer thicknesses is discussed, and the thickness with the best on/off ratio is found for 2D resistive random-access memory (RRAM). This work reveals fundamental differences between a 2D RRAM and conventional oxide RRAM. Furthermore, the physical parameters extracted using the kinetic Monte Carlo (KMC) model indicate that 2D materials have a lower diffusion activation energy along the vertical direction, where a smaller bias voltage and a shorter switching time can be achieved. The diffusion activation energy from the chemical vapor deposition (CVD)-grown sample is much lower than for mechanically exfoliated samples. The results suggest that ${\mathrm{MoS}}_{2}$ has the fastest switching speed among the three considered 2D materials.
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