Role of packing density and spatial correlations in strongly scattering 3D systems

Year: 2018

Authors: Pattelli L., Egel A., Lemmer U., Wiersma D.S.

Autors Affiliation: European Laboratory for Non-linear Spectroscopy (LENS), Università di Firenze, Sesto Fiorentino, 50019, Italy; Light Technology Institute, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany; Institute for Microstructure Technology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany; Istituto Nazionale di Ricerca Metrologica (INRiM), Turin, 10135, Italy

Abstract: Discrete random media have been investigated extensively over the past century due to their ability to scatter light. Even so, the link between the three-dimensional (3D) spatial distribution of the scattering elements and the resulting opacity is still lively debated to date due to different experimental conditions, range of parameters explored, or sample formulations. On the other hand, a unified numerical survey with controlled parameters has been impractical up to date due to the sheer computational power required to address samples with representative size. In this work, we exploit a graphics processing unit implementation of the T-matrix method to investigate the complete range of particle volume concentration and packing-induced spatial correlations, allowing us to reveal and elucidate a twofold role played by spatial correlations in either enhancing or suppressing opacity. By applying these findings to the illustrative case of white paint, we determine the optimal combination of density and spatial correlations corresponding to the highest opacity.

Journal/Review: OPTICA

Volume: 5 (9)      Pages from: 1037  to: 1045

More Information: Deutsche Forschungsgemeinschaft, DFG, SPP 1839. European Research Council, ERC. Horizon 2020 Framework Programme, H2020, H2020. Horizon 2020 Framework Programme, H2020, 654148. Deutsche Forschungsgemeinschaft, DFG. Seventh Framework Programme, FP7. FP7 Ideas: European Research Council, IDEAS-ERC, 291349. – Funding. FP7 Ideas: European Research Council (IDEAS-ERC) (291349); Deutsche Forschungsgemeinschaft (DFG) (SPP 1839); Horizon 2020 Framework Programme (H2020) (654148).
KeyWords: Computer graphics; Opacity; Program processors, Computational power; Controlled parameter; Discrete random media; Experimental conditions; Particle volume concentrations; Scattering elements; Spatial correlations; Threedimensional (3-d), Graphics processing unit
DOI: 10.1364/OPTICA.5.001037

ImpactFactor: 9.263
Citations: 34
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