Giant memory window performance and low power consumption of hexagonal boron nitride monolayer atomristor

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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Publication Details

Journal
npj 2D Materials and Applications
Published
2025-02-06
DOI
https://doi.org/10.1038/s41699-025-00533-9
Citations
9
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
4.66

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article

Giant memory window performance and low power consumption of hexagonal boron nitride monolayer atomristor

Matthew Disiena, Yu-Rim Jeon, Sung Jin Yang, Shanmukh Kutagulla et al.
9 citations
npj 2D Materials and Applications
2D Materials and Applications
4.66
article

Giant memory window performance and low power consumption of hexagonal boron nitride monolayer atomristor

Matthew Disiena, Yu-Rim Jeon, Sung Jin Yang, Shanmukh Kutagulla, Deji Akinwande, Sivasakthya Mohan, Sanjay K. Banerjee, Dong-Yoon Kim
article en
9 citations

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.

npj 2D Materials and ApplicationsVol. 9(1)
The University of Texas at Austin (US)
National Science Foundation, Office of Naval Research, Division of Materials Research
Affordable and clean energy
Openalex Percentile: Top 5%
2D Materials and Applications
4.66
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