Patil, AnvayHeil, Christian M.Vanthournout, BramSingla, SaranshuHu, ZiyingIlavsky, JanGianneschi, Nathan C.Shawkey, Matthew D.Sinha, Sunil K.Jayaraman, ArthiDhinojwala, Ali2022-10-202022-10-202022-09-05Patil, Anvay, Christian M. Heil, Bram Vanthournout, Saranshu Singla, Ziying Hu, Jan Ilavsky, Nathan C. Gianneschi, et al. “Modeling Structural Colors from Disordered One-Component Colloidal Nanoparticle-Based Supraballs Using Combined Experimental and Simulation Techniques.” ACS Materials Letters 4, no. 9 (September 5, 2022): 1848–54. https://doi.org/10.1021/acsmaterialslett.2c00524.2639-4979https://udspace.udel.edu/handle/19716/31515Deposited in conjunction with the UD Faculty Senate Open Access Resolution (https://facultyhandbook.udel.edu/handbook/4215-open-access-policy). This document is the unedited Author's version of a Submitted Work that was subsequently accepted for publication in ACS Materials Letters, copyright © 2022 American Chemical Society after peer review. To access the final edited and published work see https://doi.org/10.1021/acsmaterialslett.2c00524. This article will be embargoed until 09/05/2023.Bright, saturated structural colors in birds have inspired synthesis of self-assembled, disordered arrays of assembled nanoparticles with varied particle spacings and refractive indices. However, predicting colors of assembled nanoparticles, and thereby guiding their synthesis, remains challenging 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 input the reconstructed structures to a finite-difference time-domain method to predict their color and reflectance. This computational approach is successfully validated by comparing its predictions against experimentally measured reflectance and provides a pathway for reverse engineering colloidal assemblies with desired optical and photothermal properties.en-USArticle