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Molecular junctions for thermal transport between graphene nanoribbons: covalent bonding vs. interdigitated chains

Authors :
Di Pierro, Alessandro
Saracco, Guido
Fina, Alberto
Source :
Computational Materials Science 142 (2018) 255-260
Publication Year :
2017

Abstract

Proper design and manufacturing thermal bridges based on molecular junctions at the contact between graphene platelets or other thermally conductive nanoparticles would provide a fascinating way to produce efficient heat transport networks for the exploitation in heat management applications. In this work, using Non Equilibrium Molecular Dynamics, we calculated thermal conductance of alkyl chains used as molecular junctions between two graphene nanoribbons, both as covalently bound and Van der Waals interdigitated chains. Effect of chain length, grafting density, temperature and chain interdigitation were systematically studied. A clear reduction of conductivity was found with increasing chain length and decreasing grafting density, while lower conductivity was observed for Van der Waals interdigitated chains compared to covalently bound ones. The importance of molecular junctions in enhancing thermal conductance at graphene nanoribbons contacts was further evidenced by calculating the conductance equivalence between a single chain and an overlapping of un-functionalized graphene sheets. As an example, one single pentyl covalently bound chain was found to have a conductance equivalent to the overlapping of an area corresponding to about 152 carbon atoms. These results contribute to the understanding of thermal phenomena occurring within networks of thermally conductive nanoparticles, including graphene nanopapers and graphene-based polymer nanocomposites, which are or high interest for the heat management application in electronics and generally in low-temperature heat exchange and recovery.

Details

Database :
arXiv
Journal :
Computational Materials Science 142 (2018) 255-260
Publication Type :
Report
Accession number :
edsarx.1710.03843
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.commatsci.2017.10.019