Maze-solving via diffusiophoresis
ORAL
Abstract
Mazes provide a simple model for many frequently-occurring structures and phenomena (eg. human circulatory system, traffic in a city). It is often of interest to find the most efficient path in a maze (eg. in order to transport materials). The problem of maze-solving poses a mathematical challenge: most analytic solutions can become computationally demanding as mazes become more complex, often relying on brute-force methods that involve exploring multiple paths before arriving at the solution. In this work, we present a novel method of solving the problem by exploiting the diffusiophoretic motion of colloids in a maze.We demonstrate our method experimentally via a microfluidic maze.
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Presenters
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Tanvi Gandhi
University of California, San Diego
Authors
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Tanvi Gandhi
University of California, San Diego
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Sophie Ramananarivo
LadHyX, University of California, San Diego
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Antoine Aubret
University of California, San Diego
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Massimo Vergassola
University of California, San Diego
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Jeremie Palacci
University of California, San Diego