Literature DB >> 26125524

Modifying Surface Energy of Graphene via Plasma-Based Chemical Functionalization to Tune Thermal and Electrical Transport at Metal Interfaces.

Brian M Foley1, Sandra C Hernández, John C Duda1, Jeremy T Robinson, Scott G Walton, Patrick E Hopkins1.   

Abstract

The high mobility exhibited by both supported and suspended graphene, as well as its large in-plane thermal conductivity, has generated much excitement across a variety of applications. As exciting as these properties are, one of the principal issues inhibiting the development of graphene technologies pertains to difficulties in engineering high-quality metal contacts on graphene. As device dimensions decrease, the thermal and electrical resistance at the metal/graphene interface plays a dominant role in degrading overall performance. Here we demonstrate the use of a low energy, electron-beam plasma to functionalize graphene with oxygen, fluorine, and nitrogen groups, as a method to tune the thermal and electrical transport properties across gold-single layer graphene (Au/SLG) interfaces. We find that while oxygen and nitrogen groups improve the thermal boundary conductance (hK) at the interface, their presence impairs electrical transport leading to increased contact resistance (ρC). Conversely, functionalization with fluorine has no impact on hK, yet ρC decreases with increasing coverage densities. These findings indicate exciting possibilities using plasma-based chemical functionalization to tailor the thermal and electrical transport properties of metal/2D material contacts.

Entities:  

Keywords:  Graphene; contact resistivity; contacts; functionalization; thermal boundary conductance

Year:  2015        PMID: 26125524     DOI: 10.1021/acs.nanolett.5b00381

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  4 in total

1.  Use of liquid lithography to form in vitro intestinal crypts with varying microcurvature surrounding the stem cell niche.

Authors:  R Logan Howard; Yuli Wang; Nancy L Allbritton
Journal:  J Micromech Microeng       Date:  2021-10-26       Impact factor: 1.881

2.  Physical and chemical descriptors for predicting interfacial thermal resistance.

Authors:  Yen-Ju Wu; Tianzhuo Zhan; Zhufeng Hou; Lei Fang; Yibin Xu
Journal:  Sci Data       Date:  2020-02-03       Impact factor: 6.444

3.  Plasma-Modified, Epitaxial Fabricated Graphene on SiC for the Electrochemical Detection of TNT.

Authors:  Scott A Trammell; Sandra C Hernández; Rachael L Myers-Ward; Daniel Zabetakis; David A Stenger; D Kurt Gaskill; Scott G Walton
Journal:  Sensors (Basel)       Date:  2016-08-12       Impact factor: 3.576

4.  Prediction of thermal boundary resistance by the machine learning method.

Authors:  Tianzhuo Zhan; Lei Fang; Yibin Xu
Journal:  Sci Rep       Date:  2017-08-02       Impact factor: 4.379

  4 in total

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