Using Patterned Self-Assembled Monolayers to Tune Graphene-Substrate Interactions

Maelani Negrito, Meagan B. Elinski, Nathaniel Hawthorne, McKenzie P. Pedley, Mengwei Han, Matthew Sheldon, Rosa M. Espinosa-Marzal, James D. Batteas

Research output: Contribution to journalArticlepeer-review

Abstract

Graphene has unique mechanical, electronic, and optical properties that make it of interest for an array of applications. These properties can be modulated by controlling the architecture of graphene and its interactions with surfaces. Self-assembled monolayers (SAMs) can tailor graphene-surface interactions; however, spatially controlling these interactions remains a challenge. Here, we blend colloidal lithography with varying SAM chemistries to create patterned architectures that modify the properties of graphene based on its chemical interactions with the substrate and to study how these interactions are spatially arrayed. The patterned systems and their resulting structural, nanomechanical, and optical properties have been characterized using atomic force microscopy, Raman and infrared spectroscopies, scattering-type scanning near-field optical microscopy, and X-ray photoelectron spectroscopy.

Original languageEnglish (US)
Pages (from-to)9996-10005
Number of pages10
JournalLangmuir
Volume37
Issue number33
DOIs
StatePublished - Aug 24 2021

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Surfaces and Interfaces
  • Spectroscopy
  • Electrochemistry

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