Enhancement of thermal transport properties of asymmetric Graphene/hBN nanoribbon heterojunctions by substrate engineering

L.M.S. thanks to the International Max Planck Research School Dynamical processes in atoms, molecules and solids and the Deutscher Akademischer Austauschdienst(DAAD) for the financial support. G.C.S. and C.V.L. are grateful to National Council of Science and Technology (CONCYTEC) from Peru for the f...

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Detalles Bibliográficos
Autores: Medrano Sandonas L., Cuba-Supanta G., Gutierrez R., Dianat A., Landauro C.V., Cuniberti G.
Tipo de recurso: artículo
Fecha de publicación:2017
País:Perú
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Idioma:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/591
Acceso en línea:https://hdl.handle.net/20.500.12390/591
https://doi.org/10.1016/j.carbon.2017.09.025
Access Level:acceso abierto
Palabra clave:Transportation routes
Deposition
Graphene
Interfaces (materials)
Molecular dynamics
Nanoribbons
Silica
Silicon
Silicon carbide
Substrates
Transport properties
Interface thermal resistance
Non equilibrium molecular dynamic (NEMD)
Rectification factors
Structural asymmetry
Substrate engineering
Substrate temperature
Thermal transport
Thermal transport properties
Heterojunctions
https://purl.org/pe-repo/ocde/ford#2.07.00
Descripción
Sumario:L.M.S. thanks to the International Max Planck Research School Dynamical processes in atoms, molecules and solids and the Deutscher Akademischer Austauschdienst(DAAD) for the financial support. G.C.S. and C.V.L. are grateful to National Council of Science and Technology (CONCYTEC) from Peru for the financial support through the Doctoral Program for Peruvian Universities (Nº 218-2014-CONCYTEC) and the Peruvian Excellence Center Program, respectively. This work has also been partly supported by the German Research Foundation(DFG) within the Cluster of Excellence “Center for Advancing Electronics Dresden”. We acknowledge the Center for Information Services and High Performance Computing (ZIH) at TU Dresden for computational resources.