六方氮化硼
材料科学
单层
窗口(计算)
功率消耗
硼
消费(社会学)
六方晶系
功率(物理)
光电子学
纳米技术
结晶学
化学
计算机科学
艺术
石墨烯
美学
物理
操作系统
有机化学
量子力学
作者
Sung Jin Yang,Yu-Rim Jeon,Dong-Yoon Kim,Sivasakthya Mohan,Shanmukh Kutagulla,Matthew Disiena,Sanjay K. Banerjee,Deji Akinwande
标识
DOI:10.1038/s41699-025-00533-9
摘要
Abstract Two-dimensional (2D) monolayers have gained significant attention as ultrathin active layers for fabricating atomic-scale memristor (atomristor) structures due to their crystalline structures and clean surfaces. This study reports on the giant memory window performance and low power consumption of the atomristor structures using a hexagonal boron nitride (h-BN) monolayer and symmetric silver (Ag) metal electrodes through a polypropylene carbonate (PPC) assisted transfer method. The h-BN atomristor exhibits the highest memory window (~4 × 109), the lowest leakage current (~0.24 pA), and the lowest power consumption (~3 × 10−14 W) compared to the other 2D atomristors. Furthermore, the h-BN atomristor achieves significant endurances and yields of up to 10,000 switching cycles and 77%, respectively, due to the superior thermomechanical properties of the PPC support layer for transferring ultrathin and large-area h-BN monolayers. These results represent a significant step toward the realization of high-performance and energy-efficient neuromorphic computing circuits based on 2D monolayers.
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