Boltzmann


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Boltz·mann

 (bōlts′mən, -män′), Ludwig Eduard 1844-1906.
Austrian physicist who applied statistical methods to physics, made major contributions to thermodynamics, and championed the theory that matter is composed of atoms.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

Boltzmann

(German ˈbɔltsman)
n
(Biography) Ludwig (ˈluːtvɪç). 1844–1906, Austrian physicist. He established the principle of the equipartition of energy and developed the kinetic theory of gases with J. C. Maxwell
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
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Noun1.Boltzmann - Austrian physicist who contributed to the kinetic theory of gases (1844-1906)
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References in periodicals archive ?
The new definitions will be based on fixed numerical values of the Planck constant (h), the elementary charge (e), the Boltzmann constant (k), and the Avogadro constant (NA), respectively.
Hinton and Sejnowski [35] proposed Boltzmann Machine (BM) in 1986.
Klein treats these quasi-mythic figures as full people, describing the struggles of Einstein's early career and the tragedy of Ludwig Boltzmann's misunderstood genius.
One of the numerical methods that are used for simulations of computational fluid dynamics (CFD) is the lattice Boltzmann method (LBM).
The software is based on the Lattice Boltzmann method, providing users with superior performance and dramatically reducing the model preparation time for large, complex models.
The lattice Boltzmann method (LBM) in combination with IBM has been used for simulating the motion and deformation of elastic bodies immersed in fluid flow including red blood cells (RBCs).
Viggen, The Lattice Boltzmann Method, Springer, Berlin, Germany, 2016.
Recently, the Lattice Boltzmann method (LBM) has been widely used in the field relevant to fluid flow and gas transport at the mesoscale because of its efficiency and effectiveness in the implementation of multiple interparticle interactions and complex geometry boundary conditions [13-15].
[4] introduced the Deep Belief Network, with multiple layers of Restricted Boltzmann Machines, greedily training one layer at a time in an unsupervised way.
At present, many numerical techniques have been developed to model the SCC flow by assuming it as a homogeneous viscous fluid and using either the mesh-based methods such as the finite volume method (FVM) [5] and the finite element method (FEM) [6] or the meshless methods like the smoothed particle hydrodynamics (SPH) and the lattice Boltzmann method (LBM).
The lattice Boltzmann method (LBM) offers an alternative method to simulate complex fluid flow, allowing easy implementation of boundary conditions and can be used for unsteady flows, phase separation, evaporation, condensation, cavitation, solute and heat transport, and buoyancy, and interactions with surfaces can readily be simulated.