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Percolation in Networks of Liquid Diodes

[Image: see text] Liquid diodes are surface structures that facilitate the spontaneous flow of liquids in a specific direction. In nature, they are used to increase water collection and uptake, reproduction, and feeding. However, large networks with directional properties are exceptional and are typ...

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Autores principales: Sammartino, Camilla, Shokef, Yair, Pinchasik, Bat-El
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476187/
https://www.ncbi.nlm.nih.gov/pubmed/37606508
http://dx.doi.org/10.1021/acs.jpclett.3c01885
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author Sammartino, Camilla
Shokef, Yair
Pinchasik, Bat-El
author_facet Sammartino, Camilla
Shokef, Yair
Pinchasik, Bat-El
author_sort Sammartino, Camilla
collection PubMed
description [Image: see text] Liquid diodes are surface structures that facilitate the spontaneous flow of liquids in a specific direction. In nature, they are used to increase water collection and uptake, reproduction, and feeding. However, large networks with directional properties are exceptional and are typically limited up to a few centimeters. Here, we simulate, design, and 3D print liquid diode networks consisting of hundreds of unit cells. We provide structural and wettability guidelines for directional transport of liquids through these networks and introduce percolation theory in order to identify the threshold between a connected network, which allows fluid to reach specific points, and a disconnected network. By constructing well-defined networks with uni- and bidirectional pathways, we experimentally demonstrate the applicability of models describing isotropically directed percolation. We accurately predict the network permeability and the liquid final state. These guidelines are highly promising for the development of structures for spontaneous, yet predictable, directional liquid transport.
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spelling pubmed-104761872023-09-05 Percolation in Networks of Liquid Diodes Sammartino, Camilla Shokef, Yair Pinchasik, Bat-El J Phys Chem Lett [Image: see text] Liquid diodes are surface structures that facilitate the spontaneous flow of liquids in a specific direction. In nature, they are used to increase water collection and uptake, reproduction, and feeding. However, large networks with directional properties are exceptional and are typically limited up to a few centimeters. Here, we simulate, design, and 3D print liquid diode networks consisting of hundreds of unit cells. We provide structural and wettability guidelines for directional transport of liquids through these networks and introduce percolation theory in order to identify the threshold between a connected network, which allows fluid to reach specific points, and a disconnected network. By constructing well-defined networks with uni- and bidirectional pathways, we experimentally demonstrate the applicability of models describing isotropically directed percolation. We accurately predict the network permeability and the liquid final state. These guidelines are highly promising for the development of structures for spontaneous, yet predictable, directional liquid transport. American Chemical Society 2023-08-22 /pmc/articles/PMC10476187/ /pubmed/37606508 http://dx.doi.org/10.1021/acs.jpclett.3c01885 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Sammartino, Camilla
Shokef, Yair
Pinchasik, Bat-El
Percolation in Networks of Liquid Diodes
title Percolation in Networks of Liquid Diodes
title_full Percolation in Networks of Liquid Diodes
title_fullStr Percolation in Networks of Liquid Diodes
title_full_unstemmed Percolation in Networks of Liquid Diodes
title_short Percolation in Networks of Liquid Diodes
title_sort percolation in networks of liquid diodes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476187/
https://www.ncbi.nlm.nih.gov/pubmed/37606508
http://dx.doi.org/10.1021/acs.jpclett.3c01885
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