Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Near-Field Single-Scattering Calculations of Aerosols: Sensitivity Studies2citations
  • 2019Improving the foundation for particulate matter risk assessment by individual nanoparticle statistics from electron microscopy analysis12citations
  • 2018Composition of ice particle residuals in mixed-phase clouds at Jungfraujoch (Switzerland): enrichment and depletion of particle groups relative to total aerosol22citations

Places of action

Chart of shared publication
Arreyndip, Nkongho Ayuketang
1 / 1 shared
Aryasree, S.
1 / 1 shared
Koponen, Ismo Kalevi
1 / 2 shared
Hougaard, Karin Sørig
1 / 2 shared
Kling, Kirsten Inga
1 / 2 shared
Mølhave, Kristian
1 / 7 shared
Brostrøm, Anders
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Ebert, Martin
1 / 7 shared
Schneider, Johannes
1 / 48 shared
Mertes, Stephan
1 / 2 shared
Weinbruch, Stephan
1 / 3 shared
Eriksen Hammer, Stine
1 / 1 shared
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2023
2019
2018

Co-Authors (by relevance)

  • Arreyndip, Nkongho Ayuketang
  • Aryasree, S.
  • Koponen, Ismo Kalevi
  • Hougaard, Karin Sørig
  • Kling, Kirsten Inga
  • Mølhave, Kristian
  • Brostrøm, Anders
  • Ebert, Martin
  • Schneider, Johannes
  • Mertes, Stephan
  • Weinbruch, Stephan
  • Eriksen Hammer, Stine
OrganizationsLocationPeople

article

Near-Field Single-Scattering Calculations of Aerosols: Sensitivity Studies

  • Arreyndip, Nkongho Ayuketang
  • Kandler, Konrad
  • Aryasree, S.
Abstract

<jats:p>We model the effects of the photosensitive parameters of aerosols on their optical properties to provide a solid framework for further experimental and theoretical studies. A spherical dust particle is used to study the effects of the ambient medium, size, surface roughness, wavelength, and imaginary part of the complex refractive index. Five Gaussian random spheres with different aspect ratios are simulated to study the dependence of aerosol light scattering properties on particle shape distribution. To investigate the influence of composition, we model two typical kaolinite-like particles (pure and composite) collected from Southwest Sahara, with 0 and 2% hematite at different mixing states. Using the method of discrete-dipole approximation in DDSCAT, a comparative study is performed with the Mueller matrix elements, scattering, absorption, extinction efficiencies, single scattering albedo, and linear depolarization ratio as indicators. For single, microscopic dust particles, near-field calculations are carried out. The results show that the intensity of backscattering and the scattering efficiency decreases in water compared to dry air. Light in the visible range is more efficient for aerosol scattering experiments. A small number of impurities in the sample will increase its absorbing properties, but, in general, the scattering efficiencies strongly depend on the single-particle mixing state. Smaller particles with a diameter comparable to the wavelength of incident light show higher scattering efficiencies but lower backscattering intensities than larger particles, while surface roughness is shown to strongly alter the polarizability of the particle but has a negligible effect on its single-scattering albedo. Moreover, different shapes have a strong effect on the degree of linear polarization, but, in general, using the spherical over elliptic shape model can underestimate the scattering efficiencies by up to 4%. Finally, variation in the imaginary part of the complex RI can underestimate the single scattering albedo by up to 35.8%.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • composite
  • random
  • particle shape
  • light scattering