Zobrazeno 1 - 10
of 1 234
pro vyhledávání: '"Saenz J"'
Autor:
Escobar-Ruiz, A. M., Jiménez-Lara, L., Juárez-Florez, P. M., Montoya-Molina, F., Moreno-Sáenz, J., Quiroz-Juarez, M. A.
In this study, the classical two-dimensional potential $V_N=\frac{1}{2}\,m\,\omega^2\,r^2 + \frac{1}{N}\,r^N\,\sin(N\,\theta)$, $N \in {\mathbb Z}^+$, is considered. At $N=1,2$, the system is superintegrable and integrable, respectively, whereas for
Externí odkaz:
http://arxiv.org/abs/2401.05374
Autor:
Escobar-Ruiz, A.M., Jiménez-Lara, L., Juárez-Flores, P.M., Montoya-Molina, F., Moreno-Sáenz, J., Quiroz-Juárez, M.A.
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena July 2024 184
Autor:
Saenz, J. A., Ringler, T. D.
We present a prognostic, one-equation model for eddy-mean flow interactions to parameterize the divergence of the Eliassen-Palm flux tensor (EPFT) that arises from thickness-weighted averaging (TWA) the hydrostatic Boussinesq equations. The TWA syste
Externí odkaz:
http://arxiv.org/abs/2012.10297
We investigate relationships between statistics obtained from filtering and from ensemble or Reynolds-averaging turbulence flow fields as a function of length scale. Generalized central moments in the filtering approach are expressed as inner product
Externí odkaz:
http://arxiv.org/abs/2012.06851
Publikováno v:
In Fusion Engineering and Design December 2023 197
Autor:
Mateos-Anzaldo, D., Nedev, R., Perez-Landeros, O., Curiel-Alvarez, M., Castillo-Saenz, J., Arias-Leon, A., Valdez-Salas, B., Silva-Vidaurri, L., Martinez-Guerra, E., Osorio-Urquizo, E., Nedev, N.
Publikováno v:
In Optical Materials November 2023 145
Akademický článek
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We explore the use of deep neural networks for nonlinear dimensionality reduction in climate applications. We train convolutional autoencoders (CAEs) to encode two temperature field datasets from pre-industrial control runs in the CMIP5 first ensembl
Externí odkaz:
http://arxiv.org/abs/1809.00027
Publikováno v:
Phys. Rev. E 98, 062614 (2018)
Self-organized collective behaviour of active units is inspiring new designs of artificial swarms of micron-sized objects. However, active control at the nanoscale remains elusive. We have accurately solved the collective optofluidic dynamics of gold
Externí odkaz:
http://arxiv.org/abs/1709.04424
“I am home, safe and sound, and reviewing all these memories as if in a dream. All of this pleases me. I have been faithful to my duty.” Thus José de la Luz Sáenz ends his account of his military service in France and Germany in 1918. Published