Results 11 to 20 of about 267,527 (261)
Solar-Terrestrial Physics, 2023 The first part of the work presents the results of numerical experiments with the magnetohydrodynamic model of “shallow water” to assess the degree of influence of the magnetic field on the development of instabilities conditioned by a combination of ...
Mordvinov V. I. +2 more
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Journal of Marine Science and Engineering, 2023 The precision of acoustic ranging and navigation depends on the accuracy of the information about the sound speed field in the area of interest. Large-scale inhomogeneities in the bottom relief and water column can significantly affect the horizontal ...
Mikhail Sorokin +6 more
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Journal of Marine Science and Engineering, 2021 Numerous sound propagation models in underwater acoustics are based on the representation of a sound field in the form of a decomposition over normal modes.
Alena Zakharenko +2 more
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Rayleigh–Bénard Instability of an Ellis Fluid Saturated Porous Channel with an Isoflux Boundary
Fluids, 2021 The onset of the thermal instability is investigated in a porous channel with plane parallel boundaries saturated by a non–Newtonian shear–thinning fluid and subject to a horizontal throughflow.
Pedro Vayssière Brandão +2 more
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Journal of Marine Science and Engineering, 2021 A generalized form of the matrix-invariant imbedding method was developed to solve boundary-value problems for coupled systems of Helmholtz-type equations.
Mikhail Kazak +2 more
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Experimental and numerical identification of structural modes for engineering education [PDF]
Facta Universitatis. Series: Architecture and Civil Engineering, 2014 Development of simple classroom demonstration device and software for visualization of structural normal modes is presented. Device is made of parts of old speaker, controlled with personal computer, where the harmonic motion of solenoid is used
Borković Aleksandar +4 more
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CoRR, 2018 Normalization methods are a central building block in the deep learning toolbox. They accelerate and stabilize training, while decreasing the dependence on manually tuned learning rate schedules. When learning from multi-modal distributions, the effectiveness of batch normalization (BN), arguably the most prominent normalization method, is reduced.
Lucas Deecke +2 more
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Fortschritte der Physik, 2004 AbstractIn this talk we review different applications of quasi normal modes to black hole physics, string theory and thermalisation in quantum field theory. In particular, we describe the the relation between quasi normal modes of AdS black holes and the time scale for thermalisation in strongly coupled, large N conformal field theory.
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Not-So-Normal Mode Decomposition [PDF]
Physical Review Letters, 2008 4 pages, 2 figures, published ...
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Frontiers in Molecular Biosciences, 2020 K-Ras is one of the most frequently mutated oncogenes in human tumor cells. It consists of a well-conserved globular catalytic domain and a flexible tail-like hypervariable region (HVR) at its C-terminal end.
Balint Dudas +7 more
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