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

Author(s)Patil, Anvay
Author(s)Heil, Christian M.
Author(s)Vanthournout, Bram
Author(s)Singla, Saranshu
Author(s)Hu, Ziying
Author(s)Ilavsky, Jan
Author(s)Gianneschi, Nathan C.
Author(s)Shawkey, Matthew D.
Author(s)Sinha, Sunil K.
Author(s)Jayaraman, Arthi
Author(s)Dhinojwala, Ali
Date Accessioned2022-10-20T18:11:26Z
Date Available2022-10-20T18:11:26Z
Publication Date2022-09-05
DescriptionDeposited 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.en_US
AbstractBright, 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_US
SponsorA.P., C.M.H., S.S., Z.H., N.C.G., A.J., and A.D. acknowledge financial support from the Air Force Office of Scientific Research (AFOSR) under a Multidisciplinary University Research Initiative (MURI) grant (FA 9550-18-1-0142). S.K.S. acknowledges support from the Office of Basic Energy Sciences, U.S. Department of Energy (DOE), under DOE Grant No. DE-SC0018086. B.V. and M.D.S. acknowledge support from an AFOSR grant (FA9550-18-1-0477), a FWO grant (G007117N), and an HFSP grant (RGP 0047). This research used resources of the Advanced Photon Source (APS), a U.S. DOE Office of Science User Facility, operated for the DOE Office of Science by Argonne National Laboratory (ANL) under Contract No. DE-AC02- 06CH11357. A.P., S.S., J.I., S.K.S., and A.D. express thanks for the efforts of Ivan Kuzmenko during data collection at the APS 9-ID beamline. Finally, we extend our gratitude to the entire MURI Melanin team for helpful discussions and insights throughout the course of this project.en_US
CitationPatil, 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.en_US
ISSN2639-4979
URLhttps://udspace.udel.edu/handle/19716/31515
Languageen_USen_US
PublisherACS Materials Lettersen_US
TitleModeling Structural Colors from Disordered One-Component Colloidal Nanoparticle-Based Supraballs Using Combined Experimental and Simulation Techniquesen_US
TypeArticleen_US
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