TL;DR
This paper introduces a Monte Carlo simulation model for designing angle-independent structural colors in disordered nanostructures, enabling accurate predictions and optimization for practical applications like cosmetics and displays.
Contribution
The authors develop a parameterized Monte Carlo model that accurately predicts structural colors, accounting for surface roughness, polydispersity, and absorption, facilitating design and fabrication.
Findings
Model agrees with experimental measurements.
Reproduces the color of mountain bluebird feathers.
Defines limits of angle-independent structural colors.
Abstract
Disordered nanostructures with correlations on the scale of visible wavelengths can show angle-independent structural colors. These materials could replace dyes in some applications because the color is tunable and resists photobleaching. However, designing nanostructures with a prescribed color is difficult, especially when the application -- cosmetics or displays, for example -- requires specific component materials. A general approach to solving this constrained design problem is modeling and optimization: using a model that predicts the color of a given system, one optimizes the model parameters under constraints to achieve a target color. For this approach to work, the model must make accurate predictions, which is challenging because disordered nanostructures have multiple scattering. To address this challenge, we develop a Monte Carlo model that simulates multiple scattering of…
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