Toward Optimized Charge Transport in Multilayer Reduced Graphene Oxides

In the context of graphene-based composite applications, a complete understanding of charge conduction in multilayer reduced graphene oxides (rGO) is highly desirable. However, these rGO compounds are characterized by multiple and different sources of disorder depending on the chemical method used f...

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Detalles Bibliográficos
Autores: Neşet Çınar, Mustafa, Antidormi, Aleandro, Nguyen, Viet-Hung, Kovtun, Alessandro, Lara-Ávila, Samuel, Liscio, Andrea, Charlier, Jean-Christopher, Roche, Stephan, Sevinçli, Haldun
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/279049
Acceso en línea:http://hdl.handle.net/10261/279049
Access Level:acceso abierto
Palabra clave:Disordered van der Waals thin films
Reduced graphene oxides
Charge transport
Quantum transport
Interlayer transport
Multilayer transport
Multilayer transport scaling law
Descripción
Sumario:In the context of graphene-based composite applications, a complete understanding of charge conduction in multilayer reduced graphene oxides (rGO) is highly desirable. However, these rGO compounds are characterized by multiple and different sources of disorder depending on the chemical method used for their synthesis. Most importantly, the precise role of interlayer interaction in promoting or jeopardizing electronic flow remains unclear. Here, thanks to the development of a multiscale computational approach combining first-principles calculations with large-scale transport simulations, the transport scaling laws in multilayer rGO are unraveled, explaining why diffusion worsens with increasing film thickness. In contrast, contacted films are found to exhibit an opposite trend when the mean free path becomes shorter than the channel length, since conduction becomes predominantly driven by interlayer hopping. These predictions are favorably compared with experimental data and open a road toward the optimization of graphene-based composites with improved electrical conduction.