Giant memory window performance and low power consumption of hexagonal boron nitride monolayer atomristor
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 consump...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Series: | npj 2D Materials and Applications |
| Online Access: | https://doi.org/10.1038/s41699-025-00533-9 |
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| Summary: | 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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| ISSN: | 2397-7132 |