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

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

2025npj 2D Materials and Applications11 citationsDOIOpen Access PDF

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 × 10 9 ), 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.

Topics & Concepts

Hexagonal boron nitrideMaterials scienceMonolayerWindow (computing)Power consumptionBoronConsumption (sociology)Hexagonal crystal systemPower (physics)OptoelectronicsNanotechnologyCrystallographyChemistryComputer scienceArtGrapheneAestheticsPhysicsOrganic chemistryQuantum mechanicsOperating system2D Materials and ApplicationsAdvanced Memory and Neural ComputingMXene and MAX Phase Materials
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