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Multiscale Graphene Topographies Programmed by Sequential Mechanical Deformation
Author(s) -
Chen PoYen,
Sodhi Jaskiranjeet,
Qiu Yang,
Valentin Thomas M.,
Steinberg Ruben Spitz,
Wang Zhongying,
Hurt Robert H.,
Wong Ian Y.
Publication year - 2016
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201506194
Subject(s) - graphene , materials science , deformation (meteorology) , oxide , electrode , nanotechnology , electrochemistry , shape memory alloy , composite material , metallurgy , chemistry
Multigenerational graphene oxide architectures can be programmed by specific sequences of mechanical deformations. Each new deformation results in a progressively larger set of features decorated by smaller preexisting patterns, indicating a structural “memory.” It is shown that these multiscale architectures are superhydrophobic and display excellent functionality as electrochemical electrodes.