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Temperature-Based Deep Boltzmann Machines
(Springer, 2018-08-01)
Deep learning techniques have been paramount in the last years, mainly due to their outstanding results in a number of applications, that range from speech recognition to face-based user identification. Despite other ...
Dimensionally regularized Boltzmann–Gibbs statistical mechanics and two-body Newton's gravitation
(Elsevier Science, 2018-08)
It is believed that the canonical gravitational partition function Z associated to the classical Boltzmann–Gibbs (BG) distribution [Formula presented] cannot be constructed because the integral needed for building up Z ...
Fundamentação cinética da estatística não gaussiana : efeitos em politrópicas
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em FísicaFísica da Matéria Condensada; Astrofísica e Cosmologia; Física da Ionosfera, 2011-09-19)
Considering a non-relativistic ideal gas, the standard foundations of
kinetic theory are investigated in the context of non-gaussian statistical mechanics
introduced by Kaniadakis. The new formalism is based on the ...
Verlinde's conjecture in a Boltzmann-Gibbs relativistic frame
(Elsevier Science, 2019-08-01)
Verlinde’s conjecture (VC) that gravitation is an emerging entropic force has been proved in a classical, non relativistic context in Plastino and Rocca (2018). Here we demonstrate the VC’s validity in a special relativity ...
Implementación del método de Lattice-Boltzmann en problemas de magnetohidrodinámica
(Universidad Michoacana de San Nicolás de Hidalgo, 2019-08)
In this work a way to extend the Lattice Boltzmann method to magnetohydrodynamics problems in presented. Introducing a vectorial distribution function to reproduce the magnetic induction equation. Some problems in ...