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Effective Reduction of Oxygen Debris in Graphene Oxide
Author(s) -
Seri-Livni Orit,
Saguy Cecile,
Horani Faris,
Lifshitz Efrat,
Cheskis Dima
Publication year - 2021
Publication title -
physica status solidi (b)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.51
H-Index - 109
eISSN - 1521-3951
pISSN - 0370-1972
DOI - 10.1002/pssb.202170015
Subject(s) - graphene , oxide , image (mathematics) , oxygen , scanning tunneling microscope , materials science , fourier transform , cover (algebra) , fast fourier transform , hexagonal crystal system , chemistry , nanotechnology , crystallography , physics , mathematics , computer science , artificial intelligence , algorithm , mechanical engineering , organic chemistry , quantum mechanics , engineering , metallurgy
In article number 2000505 , Efrat Lifshitz, Dima Cheskis and co‐workers present a simple method aimed to reduce the density of clusters containing oxygen functional groups (oxygen debris) weakly bonded to the graphene oxide (GO) surface. The scanning tunneling microscopy (STM) image of untreated GO (left image on the cover) shows bright patterns superimposed onto the graphene atomically resolved structure. The randomly dispersed bright spots are most probably related to agglomeration of oxygen functional groups. The fast Fourier transform (FFT) (center image) of the STM image exhibits two different frequencies. The lower frequencies (central ring) are connected to the brighter and distorted regions, whereas the higher frequencies are characteristic of the hexagonal structure observed in graphenic regions. The right image is the inverse Fourier transform image considering only the higher frequencies.