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A general strategy for printing colloidal nanomaterials into one-dimension micro/nanolines

Abstract

Though patterned one-dimensional (1D) micro/nanolines arrays are of great importance in the field of integrated circuits and optoelectronics, the fabrication of high-precision micro/nanolines with excellent optical and electrical performance remains a great challenge. Herein, a general strategy for printing 1D micro/nanolines is proposed by manipulating the self-assembly of functional nanoparticles as the multilayer or monolayer stack with single-nanoparticle width. This method is universal for dispersible nanoparticles, and the silver nanoparticle has been selected as a model nanoparticle due to its good conductivity, dispersibility and narrow-size distribution. The results indicate that the morphologies of printed micro/nanolines can be precisely regulated by the substrate wettability and the suspension concentration. Specifically, 1D nanoparticle-assembled architectures are printed as the monolayer stack on the substrate with low contact angle (below 45o), while multilayer stack is formed on the substrate with high contact angle (above 50o) or in the high concentration (more than 0.12 %). The controllability of micro/nanolines morphologies can be interpreted through the influence of the three phase contact lines slipping motion and the nanoparticles diffusion on diverse substrates in different concentrations. Alteration of the printing template structures enables the intervals of 1D micro/nanolines to span from 16 μm to 48 μm. These results provide an efficient methodology for fabricating micro/nano circuits or optics and strengthening the understanding of the self-assembling process.

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Publication details

The article was received on 14 Aug 2018, accepted on 06 Nov 2018 and first published on 07 Nov 2018


Article type: Paper
DOI: 10.1039/C8NR06543H
Citation: Nanoscale, 2018, Accepted Manuscript
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    A general strategy for printing colloidal nanomaterials into one-dimension micro/nanolines

    Y. Li, Z. Zhang, M. Su, Z. Huang, Z. Li, F. Li, Q. Pan, W. Ren, X. Hu, L. Li and Y. Song, Nanoscale, 2018, Accepted Manuscript , DOI: 10.1039/C8NR06543H

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