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Mapping the transition to superwetting state for nanotextured surfaces templated from block-copolymer self-assembly

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Abstract

Adding roughness to hydrophilic surfaces is generally expected to enhance their wetting by water. Indeed, global free energy minimization predicts decreasing contact angles when roughness factor or surface energy increases. However, experimentally it is often found that water spreading on rough surfaces is impeded by pinning effects originating from local free energy minima; an effect, largely neglected in scientific literature. Here, we utilize Laplace pressure as a proxy for these local minima, and we map the transition to a superwetting state of hydrophilic nano-textured surfaces in terms of surface chemistry and texture geometry. We demonstrate the effect for polymer model surfaces templated from block-copolymer self-assembly comprising dense, nano-pillar arrays exhibiting strong pinning in their pristine state. By timed argon plasma exposure, we tune surface chemistry to map the transition into the superwetting state of low contact angle, which we show coincide with the surface supporting hemiwicking flow. For the near-ideal model surfaces, the transition to the superwetting state occurs below a critical material contact angle of ∼50°. We show that superwetting surfaces possess anti-fogging properties, and demonstrate long term stability of the superwetting effect by coating the nanotextured surfaces with ∼10 nm thin films of either tungsten or silica.

Graphical abstract: Mapping the transition to superwetting state for nanotextured surfaces templated from block-copolymer self-assembly

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Publication details

The article was received on 29 Sep 2018, accepted on 28 Oct 2018 and first published on 29 Oct 2018


Article type: Paper
DOI: 10.1039/C8NR07941B
Citation: Nanoscale, 2018, Advance Article
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    Mapping the transition to superwetting state for nanotextured surfaces templated from block-copolymer self-assembly

    A. Telecka, N. K. Mandsberg, T. Li, E. Ludvigsen, S. Ndoni, R. Di Mundo, F. Palumbo, J. Fiutowski, S. Chiriaev and R. Taboryski, Nanoscale, 2018, Advance Article , DOI: 10.1039/C8NR07941B

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