Sammartino Camilla, Shokef Yair, Pinchasik Bat-El
School of Mechanical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 69978, Israel.
J Phys Chem Lett. 2023 Aug 31;14(34):7697-7702. doi: 10.1021/acs.jpclett.3c01885. Epub 2023 Aug 22.
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.
液体二极管是一种表面结构,可促进液体沿特定方向自发流动。在自然界中,它们被用于增加水分收集和吸收、繁殖以及进食。然而,具有定向特性的大型网络非常罕见,通常限制在几厘米以内。在这里,我们模拟、设计并3D打印了由数百个单元组成的液体二极管网络。我们提供了液体通过这些网络进行定向传输的结构和润湿性指导原则,并引入渗流理论以确定连通网络(允许流体到达特定点)和非连通网络之间的阈值。通过构建具有单向和双向路径的明确定义的网络,我们通过实验证明了描述各向同性定向渗流的模型的适用性。我们准确预测了网络渗透率和液体最终状态。这些指导原则对于开发用于自发但可预测的定向液体传输的结构非常有前景。