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Bi-Layer Graphene Nanoribbon Memory with Graphene Nanoflake Shuttle

机译:双层石墨烯纳米带记忆与石墨烯纳米蛋白梭梭

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We investigated the dynamic properties of graphene-nanoribbon (GNR) memory encapsulating graphene-nanoflake (GNF) shuttle in the potential to be applicable as a non-volatile random access memory via molecular dynamics simulations. This work explicitly demonstrates that the GNR encapsulating the GNF shuttle can be applied to nonvolatile memory. The potential well was originated by the increase of the attractive vdW energy between the GNRs when the GNF approached the edges of the GNRs. So the bistable positions were located near the edges of the GNRs. Such a nanoelectromechanical non-volatile memory based on graphene is also applicable to the development of switches, sensors, and quantum computing.
机译:我们研究了石墨烯-NANORIBBON(GNR)内存的动态性质封装石墨烯-NANOFLAKE(GNF)梭通,其通过分子动力学模拟适用于非易失性随机存取存储器。这项工作明确展示了封装GNF穿梭的GNR可以应用于非易失性存储器。当GNF接近GNR的边缘时,通过GNR之间的吸引力VDW能量增加,源于潜在的井。因此,双稳态位置位于GNR的边缘附近。基于石墨烯的这种纳米机电非易失性存储器也适用于开关,传感器和量子计算的开发。

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