Selective modification of nanoparticle arrays by laser-induced self assembly (MONA-LISA): putting control into bottom-up plasmonic nanostructuring

KALFAGIANNIS, N., SIOZIOS, A., BELLAS, D.V., TOLIOPOULOS, D., BOWEN, L., PLIATSIKAS, N., CRANTON, W.M., KOSMIDIS, C., KOUTSOGEORGIS, D.C., LIDORIKIS, E. and PATSALAS, P. (2016). Selective modification of nanoparticle arrays by laser-induced self assembly (MONA-LISA): putting control into bottom-up plasmonic nanostructuring. Nanoscale, 8 (15), 8236-8244.

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Link to published version:: 10.1039/C5NR09192F


Nano-structuring of metals is one of the greatest challenges for the future of plasmonic and photonic devices. Such a technological challenge calls for the development of ultra-fast, high-throughput and low-cost fabrication techniques. Laser processing, accounts for the aforementioned properties, representing an unrivalled tool towards the anticipated arrival of modules based in metallic nanostructures, with an extra advantage: the ease of scalability. In the present work we take advantage of the ability to tune the laser wavelength to either match the absorption spectral profile of the metal or to be resonant with the plasma oscillation frequency, and demonstrate the utilization of different optical absorption mechanisms that are size-selective and enable the fabrication of pre-determined patterns of metal nanostructures. Thus, we overcome the greatest challenge of Laser Induced Self Assembly by combining simultaneously large-scale character with atomic-scale precision. The proposed process can serve as a platform that will stimulate further progress towards the engineering of plasmonic devices. Keywords : Electromagnetic wave absorption; Light absorption; Metals; Nanostructures; Photonic devices; Plasma oscillations; Plasmons, Absorption mechanisms; Low cost fabrication; Metal nanostructure; Metallic nanostructure; Nanoparticle array; Oscillation frequency; Selective modification; Technological challenges, Self assembly

Item Type: Article
Research Institute, Centre or Group: Materials and Engineering Research Institute > Thin Films Research Centre > Electronic Materials and Sensors Research Group
Identification Number: 10.1039/C5NR09192F
Depositing User: Wayne Cranton
Date Deposited: 23 Jun 2016 10:11
Last Modified: 20 Oct 2016 00:21

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