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- Max Planck Institute for Dynamics of Complex Technical SystemsDE44 papers
- Yukhnovskii Institute for Condensed Matter Physics of the National Academy of Sciences of UkraineUA42 papers
- Max Planck Institute for the Physics of Complex SystemsDE39 papers
- National Academy of Sciences of UkraineUA32 papers
- Centre National de la Recherche ScientifiqueFR29 papers
- Lviv UniversityUA26 papers
- University of ManchesterGB21 papers
- Bielefeld UniversityDE18 papers
- Leibniz Institute for Solid State and Materials ResearchDE18 papers
- Physikalisch-Technische BundesanstaltDE17 papers
- Center for Behavioral Brain SciencesDE16 papers
- Institute for Solid State Physics and OpticsHU16 papers
69 papers · 1 filter
Force on a sphere suspended in flowing granulate
Jing Wang, Bo Fan, Tivadar Pongó +3
We investigate the force of flowing granular material on an obstacle. A sphere suspended in a discharging silo experiences both the weight of the overlaying layers and drag of the…
Flow of asymmetric elongated particles
Bo Fan, Ellák Somfai, Ralf Stannarius +1
Shear induced orientational ordering of asymmetric elongated particles is investigated experimentally. Corn grains and pegs with one end sharpened are studied using X-ray Computed…
Stochastic motion under nonlinear friction representing shear thinning
Theo Lequy, Andreas M. Menzel
We study stochastic motion under a nonlinear frictional force that levels off with increasing velocity. Specifically, our frictional force is of the so-called Coulomb-tanh type. At…
Single cavitation bubble dynamics in a stagnation flow
Dominik Mnich, Fabian Reuter, Fabian Denner +1
Jetting of collapsing bubbles is a key aspect in cavitation-driven fluid-solid interactions as it shapes the bubble dynamics and additionally due to its direct interaction with the…
High-speed ultrasound imaging of bubbly flows and shear waves in soft matter
Juan Manuel Rosselló, Saber Izak Ghasemian, Claus-Dieter Ohl
In this methods paper, we explore the capabilities of high-speed ultrasound imaging (USI) to study fast varying and complex multi-phase structures in liquids and soft materials. Sp…
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra +5
In the domain of medical imaging, many supervised learning based methods for segmentation face several challenges such as high variability in annotations from multiple experts, pau…