Results 41 to 50 of about 493,051 (329)

The oscillator's model with broken symmetry

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2015
The equations of the oscillator motion are considered. The exact solutions are given in the form of exponents with an additional parameter that characterizes the asymmetry of the oscillations.
Dmitry B Volov
doaj   +1 more source

Lagrangian particle paths and ortho-normal quaternion frames

open access: yes, 2007
Experimentalists now measure intense rotations of Lagrangian particles in turbulent flows by tracking their trajectories and Lagrangian-average velocity gradients at high Reynolds numbers.
Braun W   +17 more
core   +2 more sources

Cyclic Lagrangian Submanifolds and Lagrangian Fibrations

open access: yesTokyo Journal of Mathematics, 2005
Recall that a symplectic manifold \((M,\omega)\) is called prequantizable if there exists a nonnegative number \(\gamma_\omega\) such that the period group \(\Gamma_\omega= \{[\omega](A)= \int_A \omega: A\in H_2(M,\mathbb{Z})\}\subset \mathbb{R}\) is of the form \(\Gamma_\omega= \gamma_\omega\cdot\mathbb{Z}\).
openaire   +3 more sources

Transient Euler-Lagrange/DEM simulation of stent thrombosis

open access: yesCurrent Directions in Biomedical Engineering, 2016
Stent implantation is the treatment of choice for cardiovascular diseases. By introduction of biodegradable thick strut stents investigations of thrombosis formation is one focus of research.
Stiehm Michael   +3 more
doaj   +1 more source

Equation on the basis of one-dimensional chaotic dynamics

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2013
Modified Klein–Gordon–Fock equations were obtained on the basis of one-dimensional chaotic dynamics and the original Lagrangians were found. The concepts of $m$-exponential map and groups with broken symmetry are introduced.
Dmitry Borisovich Volov
doaj   +1 more source

Lagrangian Data Assimilation for Improving Model Estimates of Velocity Fields and Residual Currents in a Tidal Estuary

open access: yesApplied Sciences, 2021
Numerical models are associated with uncertainties that can be reduced through data assimilation (DA). Lower costs have driven a recent tendency to use Lagrangian instruments such as drifters and floats to obtain information about water bodies.
Neda Mardani   +5 more
doaj   +1 more source

Lagrangians of Hypergraphs [PDF]

open access: yesCombinatorics, Probability and Computing, 2002
How large can the Lagrangian of an r-graph with m edges be? Frankl and Füredi [1] conjectured that the r-graph of size m formed by taking the first m sets in the colex ordering of N(r) has the largest Lagrangian of all r-graphs of size m. We prove the first ‘interesting’ case of this conjecture, namely that the 3-graph with (t3) edges and ...
openaire   +2 more sources

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

open access: yesAdvanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia   +3 more
wiley   +1 more source

Advances in Solid‐Phase Processing Techniques: Innovations, Applications, and Future Perspectives

open access: yesAdvanced Materials Technologies, EarlyView.
Based on practical manufacturing challenges, this review examines advanced solid‐phase processing techniques that overcome the inherent limitations of conventional melting‐based and traditional solid‐phase manufacturing, enabling the production of higher‐performance components at reduced cost through process innovation and improved supply‐chain ...
Tianhao Wang
wiley   +1 more source

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity

open access: yesMachine Learning. Earth
Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions.
Niloofar Asefi   +4 more
doaj   +1 more source

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