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Published in 2019 at "Granular Matter"
DOI: 10.1007/s10035-019-0928-0
Abstract: This paper presents an experimental investigation of moving grains over subaqueous barchan dunes that consisted of spherical glass beads of known granulometry. Prior to each test run, a pre-determined quantity of grains was poured inside…
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Keywords:
subaqueous barchan;
velocity;
bed load;
velocity fields ... See more keywords
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Published in 2019 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-018-0933-9
Abstract: Velocity fields for motion control are a kinematic description of the desired trajectories in the Cartesian space whose applications in industrial processes of contouring tasks are promising; however, the lack of a general designing method…
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Keywords:
motion;
control;
velocity;
method ... See more keywords
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3
Published in 2023 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2022ms003484
Abstract: In this paper, we investigate the aggregation of a floating tracer into clusters. Motivated by observations of dense patches of buoyant material in the real ocean (e.g., microplastic pollutants, plankton, and sargassum), we develop an…
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Keywords:
velocity fields;
tracers random;
floating tracers;
clustering floating ... See more keywords
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1
Published in 2021 at "Physics of Fluids"
DOI: 10.1063/5.0058346
Abstract: From coarse wall measurements to turbulent velocity fields through deep learning A. Güemes,1 S. Discetti,1 A. Ianiro,1 B. Sirmacek,2 H. Azizpour,3, 4 and R. Vinuesa5, 4 1)Aerospace Engineering Research Group, Universidad Carlos III de Madrid,…
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Keywords:
coarse wall;
turbulent velocity;
fields deep;
measurements turbulent ... See more keywords
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Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0208040
Abstract: We propose a novel method to reconstruct mean velocity fields of turbulent shockwave–boundary layer interactions (SBLIs) from background-oriented schlieren (BOS) measurement data using physics-informed neural networks (PINNs). By embedding the compressible Reynolds-Averaged Navier–Stokes equations into…
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Keywords:
physics;
velocity fields;
boundary layer;
shockwave boundary ... See more keywords
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Published in 2025 at "Physics of Fluids"
DOI: 10.1063/5.0286202
Abstract: Simultaneous measurement of temperature and velocity fields in high-temperature gas flows traditionally necessitates two separate diagnostic systems with distinct laser sources, posing limitations for practical application in harsh environments. This paper proposes a novel laser-induced…
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Keywords:
temperature;
temperature velocity;
velocity fields;
measurement ... See more keywords
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Published in 2025 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staf1860
Abstract: Core-collapse supernovae (CCSNe) are among the most energetic and complex astrophysical phenomena, requiring three-dimensional (3D) simulations to capture their intricate explosion mechanisms. One of the key ingredients for such simulations is the 3D pre-collapse structure,…
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Keywords:
synthetic velocity;
core collapse;
velocity fields;
initial conditions ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3130918
Abstract: Accurate measurement of temperature and velocity fields in combustion and flow diagnostic plays an important role in analyzing the heat transfer mechanism and ensuring the safe operation of equipment. In this work, considering the refraction…
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Keywords:
temperature velocity;
nonlinear acoustic;
temperature;
velocity fields ... See more keywords
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Published in 2024 at "Artificial organs"
DOI: 10.1111/aor.14811
Abstract: BACKGROUND The Food and Drug Administration (FDA) blood pump is an open-source benchmark cardiovascular device introduced for validating computational and experimental performance analysis tools. The time-resolved velocity field for the whole impeller has not been…
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Keywords:
fda blood;
pump;
velocity fields;
blood pump ... See more keywords
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Published in 2019 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13619
Abstract: This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity fields. Due to…
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Keywords:
network;
fluid simulations;
generative model;
velocity fields ... See more keywords
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Published in 2021 at "Journal of Atmospheric and Oceanic Technology"
DOI: 10.1175/jtech-d-20-0151.1
Abstract: Single-Doppler radar data are often missing in important regions of a severe storm due to low return power, low signal-to-noise ratio, ground clutter associated with normal and anomalous propagation, and missing radials associated with partial…
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Keywords:
velocity;
doppler;
method;
doppler velocity ... See more keywords