Sentence examples for mean field methods from inspiring English sources

Inclusions in short fiber reinforced composites (SFRC) suffer from debonding and cannot be directly modeled using Eshelby based mean field methods.

One can look at average performance, but when comparing protein alignments, it may be that there are many methods which perform similarly, even with approaches based on methods ranging from local distance information mean field methods [ 6- 35, 63- 66].

Contrast gain and additive attention are also tested in a spiking network which is simplified by mean field methods.

Predicted tensile and shear moduli agree well with experimental data for both mean field methods, although the internal stress distribution for both methods is significantly different.

Mean field and beyond mean field methods implemented with the D1S force are used in large scale calculations to study the structure properties of fifty five even even actinides at normal and isomeric potential deformations.

Through numerical examples, it concludes that, if the random set of fiber cross-sections is homogeneous and isotropic, the effective field method is coincident with the Mori Tanaka mean field method when the static effective moduli of piezoelectric piezomagnetic composites are looked for.

In the most simple-minded implementation of the mean field method, which neglects all short range correlations of the Ising spins, we find, in this limit, that the tension vanishes for weak and moderate coupling, but for very large coupling does indeed stay non-zero.

We explore the corresponding probabilistic diffusion equation and uncover the underlying landscape and flux with self consistent mean field method.

We developed a self consistent mean field method to solve multidimensional problem and uncovered the potential landscape with Mexican hat ring valley shape for predator-prey oscillations.

Cellulase 4D incorporates a novel approach to modeling the enzymatic hydrolysis of cellulose by cellulases, by introducing a cellular automaton method to describe the surface interactions combined with a mean field method to account for the solution phase kinetics.

Before we jump into this, we conclude in the 'Mean-field methods in computational neuroscience: a quick overview' section with a brief overview of the mean-field methods popular in computational neuroscience.