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NLL-Assisted Multilayer Graphene Patterning

[Image: see text] The range of applications of diverse graphene-based devices could be limited by insufficient surface reactivity, unsatisfied shaping, or null energy gap of graphene. Engineering the graphene structure by laser techniques can adjust the transport properties and the surface area of g...

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Autores principales: Kovalska, Evgeniya, Pavlov, Ihor, Deminskyi, Petro, Baldycheva, Anna, Ilday, F. Ömer, Kocabas, Coskun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830696/
https://www.ncbi.nlm.nih.gov/pubmed/29503971
http://dx.doi.org/10.1021/acsomega.7b01853
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author Kovalska, Evgeniya
Pavlov, Ihor
Deminskyi, Petro
Baldycheva, Anna
Ilday, F. Ömer
Kocabas, Coskun
author_facet Kovalska, Evgeniya
Pavlov, Ihor
Deminskyi, Petro
Baldycheva, Anna
Ilday, F. Ömer
Kocabas, Coskun
author_sort Kovalska, Evgeniya
collection PubMed
description [Image: see text] The range of applications of diverse graphene-based devices could be limited by insufficient surface reactivity, unsatisfied shaping, or null energy gap of graphene. Engineering the graphene structure by laser techniques can adjust the transport properties and the surface area of graphene, providing devices of different nature with a higher capacitance. Additionally, the created periodic potential and appearance of the active external/inner/edge surface centers determine the multifunctionality of the graphene surface and corresponding devices. Here, we report on the first implementation of nonlinear laser lithography (NLL) for multilayer graphene (MLG) structuring, which offers a low-cost, single-step, and high-speed nanofabrication process. The NLL relies on the employment of a high repetition rate femtosecond Yb fiber laser that provides generation of highly reproducible, robust, uniform, and periodic nanostructures over a large surface area (1 cm(2)/15 s). NLL allows one to obtain clearly predesigned patterned graphene structures without fabrication tolerances, which are caused by contacting mask contamination, polymer residuals, and direct laser exposure of the graphene layers. We represent regularly patterned MLG (p-MLG) obtained by the chemical vapor deposition method on an NLL-structured Ni foil. We also demonstrate tuning of chemical (wettability) and electro-optical (transmittance and sheet resistance) properties of p-MLG by laser power adjustments. In conclusion, we show the great promise of fabricated devices, namely, supercapacitors, and Li-ion batteries by using NLL-assisted graphene patterning. Our approach demonstrates a new avenue to pattern graphene for multifunctional device engineering in optics, photonics, and bioelectronics.
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spelling pubmed-58306962018-03-02 NLL-Assisted Multilayer Graphene Patterning Kovalska, Evgeniya Pavlov, Ihor Deminskyi, Petro Baldycheva, Anna Ilday, F. Ömer Kocabas, Coskun ACS Omega [Image: see text] The range of applications of diverse graphene-based devices could be limited by insufficient surface reactivity, unsatisfied shaping, or null energy gap of graphene. Engineering the graphene structure by laser techniques can adjust the transport properties and the surface area of graphene, providing devices of different nature with a higher capacitance. Additionally, the created periodic potential and appearance of the active external/inner/edge surface centers determine the multifunctionality of the graphene surface and corresponding devices. Here, we report on the first implementation of nonlinear laser lithography (NLL) for multilayer graphene (MLG) structuring, which offers a low-cost, single-step, and high-speed nanofabrication process. The NLL relies on the employment of a high repetition rate femtosecond Yb fiber laser that provides generation of highly reproducible, robust, uniform, and periodic nanostructures over a large surface area (1 cm(2)/15 s). NLL allows one to obtain clearly predesigned patterned graphene structures without fabrication tolerances, which are caused by contacting mask contamination, polymer residuals, and direct laser exposure of the graphene layers. We represent regularly patterned MLG (p-MLG) obtained by the chemical vapor deposition method on an NLL-structured Ni foil. We also demonstrate tuning of chemical (wettability) and electro-optical (transmittance and sheet resistance) properties of p-MLG by laser power adjustments. In conclusion, we show the great promise of fabricated devices, namely, supercapacitors, and Li-ion batteries by using NLL-assisted graphene patterning. Our approach demonstrates a new avenue to pattern graphene for multifunctional device engineering in optics, photonics, and bioelectronics. American Chemical Society 2018-02-06 /pmc/articles/PMC5830696/ /pubmed/29503971 http://dx.doi.org/10.1021/acsomega.7b01853 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Kovalska, Evgeniya
Pavlov, Ihor
Deminskyi, Petro
Baldycheva, Anna
Ilday, F. Ömer
Kocabas, Coskun
NLL-Assisted Multilayer Graphene Patterning
title NLL-Assisted Multilayer Graphene Patterning
title_full NLL-Assisted Multilayer Graphene Patterning
title_fullStr NLL-Assisted Multilayer Graphene Patterning
title_full_unstemmed NLL-Assisted Multilayer Graphene Patterning
title_short NLL-Assisted Multilayer Graphene Patterning
title_sort nll-assisted multilayer graphene patterning
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830696/
https://www.ncbi.nlm.nih.gov/pubmed/29503971
http://dx.doi.org/10.1021/acsomega.7b01853
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