
Mechanism of structural colors in binary mixtures of nanoparticle-based supraballs
- Author
- Christian M. Heil, Anvay Patil, Bram Vanthournout (UGent) , Saranshu Singla, Markus Bleuel, Jing-Jin Song, Ziying Hu, Nathan C. Gianneschi, Matthew Shawkey (UGent) , Sunil K. Sinha, Arthi Jayaraman and Ali Dhinojwala
- Organization
- Project
- Abstract
- Inspired by structural colors in avian species, various synthetic strategies have been developed to produce noniridescent, saturated colors using nanoparticle assemblies. Nanoparticle mixtures varying in particle chemistry and size have additional emergent properties that affect the color produced. For complex multicomponent systems, understanding the assembled structure and a robust optical modeling tool can empower scientists to identify structure-color relationships and fabricate designer materials with tailored color. Here, we demonstrate how we can reconstruct the assembled structure from small-angle scattering measurements using the computational reverse-engineering analysis for scattering experiments method and use the reconstructed structure in finite-difference time-domain calculations to predict color. We successfully, quantitatively predict experimentally observed color in mixtures containing strongly absorbing nanoparticles and demonstrate the influence of a single layer of segregated nanoparticles on color produced. The versatile computational approach that we present is useful for engineering synthetic materials with desired colors without laborious trial-anderror experiments.
- Keywords
- Multidisciplinary, LIGHT-SCATTERING, MELANIN, PARTICLES, ARRAYS
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01H1RE3R6QX2W457PRGWEV54F9
- MLA
- Heil, Christian M., et al. “Mechanism of Structural Colors in Binary Mixtures of Nanoparticle-Based Supraballs.” SCIENCE ADVANCES, vol. 9, no. 21, 2023, doi:10.1126/sciadv.adf2859.
- APA
- Heil, C. M., Patil, A., Vanthournout, B., Singla, S., Bleuel, M., Song, J.-J., … Dhinojwala, A. (2023). Mechanism of structural colors in binary mixtures of nanoparticle-based supraballs. SCIENCE ADVANCES, 9(21). https://doi.org/10.1126/sciadv.adf2859
- Chicago author-date
- Heil, Christian M., Anvay Patil, Bram Vanthournout, Saranshu Singla, Markus Bleuel, Jing-Jin Song, Ziying Hu, et al. 2023. “Mechanism of Structural Colors in Binary Mixtures of Nanoparticle-Based Supraballs.” SCIENCE ADVANCES 9 (21). https://doi.org/10.1126/sciadv.adf2859.
- Chicago author-date (all authors)
- Heil, Christian M., Anvay Patil, Bram Vanthournout, Saranshu Singla, Markus Bleuel, Jing-Jin Song, Ziying Hu, Nathan C. Gianneschi, Matthew Shawkey, Sunil K. Sinha, Arthi Jayaraman, and Ali Dhinojwala. 2023. “Mechanism of Structural Colors in Binary Mixtures of Nanoparticle-Based Supraballs.” SCIENCE ADVANCES 9 (21). doi:10.1126/sciadv.adf2859.
- Vancouver
- 1.Heil CM, Patil A, Vanthournout B, Singla S, Bleuel M, Song J-J, et al. Mechanism of structural colors in binary mixtures of nanoparticle-based supraballs. SCIENCE ADVANCES. 2023;9(21).
- IEEE
- [1]C. M. Heil et al., “Mechanism of structural colors in binary mixtures of nanoparticle-based supraballs,” SCIENCE ADVANCES, vol. 9, no. 21, 2023.
@article{01H1RE3R6QX2W457PRGWEV54F9, abstract = {{Inspired by structural colors in avian species, various synthetic strategies have been developed to produce noniridescent, saturated colors using nanoparticle assemblies. Nanoparticle mixtures varying in particle chemistry and size have additional emergent properties that affect the color produced. For complex multicomponent systems, understanding the assembled structure and a robust optical modeling tool can empower scientists to identify structure-color relationships and fabricate designer materials with tailored color. Here, we demonstrate how we can reconstruct the assembled structure from small-angle scattering measurements using the computational reverse-engineering analysis for scattering experiments method and use the reconstructed structure in finite-difference time-domain calculations to predict color. We successfully, quantitatively predict experimentally observed color in mixtures containing strongly absorbing nanoparticles and demonstrate the influence of a single layer of segregated nanoparticles on color produced. The versatile computational approach that we present is useful for engineering synthetic materials with desired colors without laborious trial-anderror experiments.}}, articleno = {{eadf2859}}, author = {{Heil, Christian M. and Patil, Anvay and Vanthournout, Bram and Singla, Saranshu and Bleuel, Markus and Song, Jing-Jin and Hu, Ziying and Gianneschi, Nathan C. and Shawkey, Matthew and Sinha, Sunil K. and Jayaraman, Arthi and Dhinojwala, Ali}}, issn = {{2375-2548}}, journal = {{SCIENCE ADVANCES}}, keywords = {{Multidisciplinary,LIGHT-SCATTERING,MELANIN,PARTICLES,ARRAYS}}, language = {{eng}}, number = {{21}}, pages = {{12}}, title = {{Mechanism of structural colors in binary mixtures of nanoparticle-based supraballs}}, url = {{http://doi.org/10.1126/sciadv.adf2859}}, volume = {{9}}, year = {{2023}}, }
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