Percolation in Networks of Liquid Diodes

TL;DR

This paper explores the design and simulation of liquid diode networks using percolation theory to enable predictable, directional liquid transport in complex structures, with experimental validation and structural guidelines.

Contribution

It introduces a novel application of percolation theory to liquid diode networks, providing design principles and experimental validation for directional liquid transport.

Findings

Percolation theory effectively predicts network connectivity for liquid flow.

Structural and wettability modifications control the proportion of uni- and bi-directional pathways.

Experimental results match model predictions for network permeability.

Abstract

Liquid diodes are surface structures that facilitate the flow of liquids in a specific direction. When these structures are within the capillary regime, they promote liquid transport without the need for external forces. In nature, they are used to increase water collection and uptake, reproduction, and feeding. While nature offers various one-dimensional channels for unidirectional transport, networks with directional properties are exceptional and typically limited to millimeters or a few centimeters. In this study, 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 that combine uni- and bi-directional pathways, we experimentally demonstrate the applicability of models describing isotropically directed percolation. By varying the surface structure and the solid-liquid interfacial tension, we precisely control the portion of liquid diodes and bidirectional connections in the network and follow the flow evolution. We are, therefore, able to accurately predict the network permeability and the liquid's final state. These guidelines are highly promising for the development of structures for spontaneous, yet predictable, directional liquid transport.