Transport coefficients from computer experiments: A stochastic Ising model

1974 ◽  
Vol 9 (5) ◽  
pp. 2299-2310 ◽  
Author(s):  
Abdullah Sadiq
Keyword(s):  
Ising Model ◽  
Transport Coefficients ◽  
Computer Experiments ◽  
Stochastic Ising Model

scholarly journals The metastable behavior of the three-dimensional stochastic Ising model I

1997 ◽  
Vol 40 (8) ◽  
pp. 832-842 ◽  
Author(s):  
Dayue Chen ◽  
Jianfeng Feng ◽  
Minping Qian
Keyword(s):  
Ising Model ◽  
Three Dimensional ◽  
Stochastic Ising Model

The metastable behavior of the three-dimensional stochastic Ising model (II)

1997 ◽  
Vol 40 (11) ◽  
pp. 1129-1135 ◽  
Author(s):  
Dayue Chen ◽  
Jianfeng Feng ◽  
Minping Qian
Keyword(s):  
Ising Model ◽  
Three Dimensional ◽  
Stochastic Ising Model

scholarly journals Applications of the stochastic Ising model to the Gibbs states

1976 ◽  
Vol 48 (3) ◽  
pp. 249-265 ◽  
Author(s):  
Richard A. Holley ◽  
Daniel W. Stroock
Keyword(s):  
Ising Model ◽  
Gibbs States ◽  
Stochastic Ising Model

Forest Dynamics with Canopy Gap Expansion and Stochastic Ising Model

Fractals ◽  
1998 ◽  
Vol 06 (01) ◽  
pp. 81-86 ◽  
Author(s):  
Makoto Katori ◽  
Shinya Kizaki ◽  
Youichi Terui ◽  
Takuya Kubo
Keyword(s):  
Ising Model ◽  
Forest Dynamics ◽  
Ecological Study ◽  
Gibbs State ◽  
Canopy Gap ◽  
Barro Colorado Island ◽  
Gap Size ◽  
Stochastic Ising Model ◽  
Neotropical Forest ◽  
Gap Creation

Importance of the influence of neighboring canopy gaps upon new gap creation has been clarified by the ecological study of a neotropical forest on Barro Colorado Island (BCI), Panama. A stochastic lattice model for the forest dynamics with interacting canopy gap expansion was introduced by Kubo et al. We give a theorem showing a condition that this model can be regarded as a stochastic Ising model, and that its stationary state is exactly given by a Gibbs state. Using this theorem, we obtain a Gibbs state which remarkably well approximates the real gap-size distribution in BCI.

scholarly journals Spectral Analysis of a Stochastic Ising Model in Continuum

2007 ◽  
Vol 129 (1) ◽  
pp. 121-149 ◽  
Author(s):  
Yu. Kondratiev ◽  
E. Zhizhina
Keyword(s):  
Spectral Analysis ◽  
Ising Model ◽  
Stochastic Ising Model

scholarly journals Quasi-polynomial mixing of the 2D stochastic Ising model with “plus” boundary up to criticality

2013 ◽  
Vol 15 (2) ◽  
pp. 339-386 ◽  
Author(s):  
Eyal Lubetzky ◽  
Fabio Martinelli ◽  
Allan Sly ◽  
Fabio-Lucio Toninelli
Keyword(s):  
Ising Model ◽  
Stochastic Ising Model

scholarly journals Diffraction and transport in dense plasmas: Especially liquid metals

1998 ◽  
Vol 16 (1) ◽  
pp. 71-81 ◽  
Author(s):  
N. H. March ◽  
M. P. Tosi
Keyword(s):  
Alkali Metals ◽  
Liquid Metals ◽  
Pair Correlation ◽  
Transport Coefficients ◽  
Computer Experiments ◽  
Dynamical Structure ◽  
Dense Plasmas ◽  
Ion Interactions ◽  
Recent Computer ◽  
Intimate Relation

Recent computer experiments on liquid Mg and Bi (and also on dense hydrogen) have focussed anew on issues involving static and dynamical structure in plasmas. In Mg and Bi, under normal liquid metal conditions, separation of core and valence electrons is valuable both for thermodynamics and in interpreting diffraction experiments. Mg is considered in some detail as a specific example where there is weak electron–ion interaction. Finally, dynamical structure is considered. After a brief summary relating back to the electron–electron pair correlation contribution in X-ray scattering, attention is next focussed on the (longitudinal) viscosity of alkali metals via the Kubo formula. This viscosity is shown to be dominated by ion–ion interactions. Nevertheless, an intimate relation at the melting point is exposed between shear viscosity, thermal conductivity, and electrical resistivity, the latter two transport coefficients being dominated by electrons.

Sign in / Sign up

Export Citation Format

Share Document