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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Roisman, Ilia V.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Experimental insights into the supersonic close-coupled atomization process employed for metal powder production1citations
  • 2023Experimental investigation of a supersonic close-coupled atomizer employing the phase Doppler measurement technique2citations
  • 2022An imaging technique for determining the volume fraction of two-component droplets of immiscible fluids6citations
  • 2022Modeling of the Characteristic Size of Drops in a Spray Produced by the Supersonic Gas Atomization Processcitations
  • 2022Application of the Phase Doppler Measurement Technique for the Characterization of Supersonic Gas Atomizationcitations
  • 2021Experimental Investigation of a Close-coupled Atomizer Using the Phase Doppler Measurement Technique1citations
  • 2019Supercooled Water Drops Do Not Freeze During Impact on Hybrid Janus Particle-Based Surfaces17citations

Places of action

Chart of shared publication
Hussong, Jeanette
6 / 6 shared
Tropea, Cameron
7 / 8 shared
Apell, Niklas
5 / 6 shared
Ruesch, Jonas H.
1 / 1 shared
Stumpf, Bastian
1 / 1 shared
Tee, Hisaschi T.
1 / 1 shared
Marschelke, Claudia
1 / 1 shared
Wurm, Frederik R.
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Otto, Thomas
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Schwarzer, Madeleine
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Schremb, Markus
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Synytska, Alla
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2024
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2019

Co-Authors (by relevance)

  • Hussong, Jeanette
  • Tropea, Cameron
  • Apell, Niklas
  • Ruesch, Jonas H.
  • Stumpf, Bastian
  • Tee, Hisaschi T.
  • Marschelke, Claudia
  • Wurm, Frederik R.
  • Otto, Thomas
  • Schwarzer, Madeleine
  • Schremb, Markus
  • Synytska, Alla
OrganizationsLocationPeople

article

An imaging technique for determining the volume fraction of two-component droplets of immiscible fluids

  • Ruesch, Jonas H.
  • Hussong, Jeanette
  • Tropea, Cameron
  • Roisman, Ilia V.
  • Stumpf, Bastian
Abstract

<jats:sec><jats:title>Abstract</jats:title><jats:p>Droplets within droplets occur in numerous situations in which two immiscible liquids interact, for instance, binary drop collisions or when a drop of one liquid impacts onto a film of a different liquid, ejecting secondary droplets containing both liquids. In the present study, an imaging technique for determining the volume fraction of each liquid component in such two-component droplets is introduced, in which multiple images of the same droplet at different times are used. The processing of these images is supported by a machine learning algorithm, which is taught using synthetically generated images and validated on droplets with known mixture fractions placed in an acoustic levitator. The application of the technique is demonstrated by measuring the volume fraction in splashed secondary droplets following the impact of a drop of one liquid onto a film of a different liquid.</jats:p></jats:sec><jats:sec><jats:title>Graphical abstract</jats:title></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography
  • machine learning