Boltzmann


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Related to Boltzmann: Ludwig Boltzmann
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Synonyms for Boltzmann

Austrian physicist who contributed to the kinetic theory of gases (1844-1906)

References in periodicals archive ?
The training of Restricted Boltzmann machine is faster than Autoencoder.
The main focus of the work presented in this paper is to implement the Lattice Boltzmann method on multiple heterogeneous devices using OpenCL specification.
The elastic force in the lattice Boltzmann equation [k.sub.i] is defined as:
Raabe, "Efficient and accurate simulations of deformable particles immersed in a fluid using a combined immersed boundary lattice Boltzmann finite element method," Computers & Mathematics with Applications, vol.
In the present work, we developed a double-distribution Lattice Boltzmann model to solve a coupled generalized Navier-Stokes equation, and the advection-diffusion equation is proposed for unconventional natural gas migration in the reservoir that includes gas-solid adsorption and desorption, which is based on the REV model of Guo and Zhao [9] and the diffusion-reaction model of He et al.
In this context, we will focus on three of the most important types of deep learning models with respect to their applicability in visual understanding, that is, Convolutional Neural Networks (CNNs), the "Boltzmann family" including Deep Belief Networks (DBNs) and Deep Boltzmann Machines (DBMs) and Stacked (Denoising) Autoencoders.
In this paper, the SCC flow is solved based on the lattice Boltzmann method which is considered as a very attractive alternative to the traditional CFD, especially in problems with complex boundary conditions.
[17] studied the active control of wakes and one-dimensional vortex-induced vibrations (VIVs) from a single circular cylinder using a pair of synthetic jets (SJs) at a low Reynolds number, Re= 100, using a lattice Boltzmann method.
The rigorous results on the derivation of the Boltzmann equation with hard sphere collisions by methods of perturbation theory of the BBGKY hierarchy was proved in [7-10].
In physics (in particular in statistical mechanics), the Maxwell-Boltzmann distribution is a particular probability distribution named after James Clerk Maxwell and Ludwig Boltzmann. It was first defined and used for describing particle speeds in idealized gases, where the particles move freely inside a stationary container without interacting with one another, except for very brief collisions in which they exchange energy and momentum with each other or with their thermal environment.
[8] studied the motion of two spherical particles in tube flow through the lattice Boltzmann method (LBM).
Using Lattice Boltzmann based Methods, previous studies have shown that flow-induced noise levels can be accurately predicted with a steady flow at ambient temperature [3,6,7,8].
For this investigation, we apply deep restricted Boltzmann machines (DRBM) to predict functional annotations of proteins.
For the forthcoming redefinition of the kelvin in the International System of Units (SI), an exact numerical value for the Boltzmann constant k in units of joules per kelvin will be selected to relate the thermodynamic temperature T to energy E using the relation E = kT.
[q.sub.[sigma]] (see (4) gives the straight line's intercept of the Boltzmann plot and is related to the logarithm of the abundance of elements times "F." After measuring the value of [U.sub.[sigma]](T), F, and [q.sub.[sigma]], (3) was used to determine the abundance "[C.sub.[sigma]]" of each species.