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Bright, saturated structural colors in birds have inspired synthesis ofself-assembled, disordered arrays of assembled nanoparticles with variedparticle spacings and refractive indices. However, predicting colors ofassembled nanoparticles, and thereby guiding their synthesis, remainschallenging due to the effects of multiple scattering and strong absorption.Here, we use a computational approach to first reconstruct the nanoparticles'assembled structures from small-angle scattering measurements and then inputthe reconstructed structures to a finite-difference time-domain method topredict their color and reflectance. This computational approach issuccessfully validated by comparing its predictions against experimentallymeasured reflectance and provides a pathway for reverse engineering colloidalassemblies with desired optical and photothermal properties.

acs materials letters

Modeling Structural Colors from Disordered One-Component Colloidal  Nanoparticle-based Supraballs using Combined Experimental and Simulation  Techniques