We present advanced schematics of graphene-nanoflake (GNF) shuttle-memory using the GNF encapsulated within bi-layered graphene nanoribon (GNR) like a sandwich and investigate its energetic and dynamic properties via classical molecular dynamics simulations. This work explicitly demonstrates that GNF shuttle encapsulated in bi-layered GNR is applicable to nonvolatile memory. Its energetics and the dynamic properties obtained from atomic-scale calculations clearly showed that this GNF shuttle encapsulated in bi-layered GNR had bi-stable minima energy position in the vdW potential energy plot. Such a shuttle-memory can facilitate the development of switches, sensors, and quantum computing as well as data archives.
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| http://dx.doi.org/10.1166/jnn.2015.10386 | DOI Listing |
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