A comparison between the bond-strength-coordination number fluctuation model and the random walk model of viscosity

2009 ◽  
Vol 99 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Jean Leopold Ndeugueu ◽  
Masahiro Ikeda ◽  
Masaru Aniya
Keyword(s):  
Random Walk ◽  
Bond Strength ◽  
Coordination Number ◽  
Random Walk Model ◽  
Fluctuation Model

Classification of Glassy and Polymer Electrolytes for Lithium-Ion Batteries by the Bond-Strength-Coordination Number Fluctuation Model

2010 ◽  
Vol 123-125 ◽  
pp. 1075-1078
Author(s):  
Jean Léopold Ndeugueu ◽  
Masaru Aniya
Keyword(s):  
Bond Strength ◽  
Lithium Ion Batteries ◽  
Coordination Number ◽  
Polymer Electrolytes ◽  
Structural Unit ◽  
Lithium Ion ◽  
Strength Parameter ◽  
Ion Conductor ◽  
Fluctuation Model

This article deals with the classification of glassy and polymer electrolytes for lithium-ion batteries into the so-called “strong/fragile” scale, by the means of the bond-strength-coordination number fluctuation model. We have evaluated the strength parameter, which plays a key role in the understanding of the relaxation phenomena, of each lithium-ion conductor under consideration. We have derived a relationship that not only describes accurately the experimental results, but also provides important details on the interrelation between the strength parameter, the bond strength of the structural unit, the binding energy, the coordination number and the glass transition temperature.

Analysis of Cooperativity in Metallic Glass Forming Liquids

2014 ◽  
Vol 783-786 ◽  
pp. 1889-1894 ◽  
Author(s):  
Masaru Aniya ◽  
Masahiro Ikeda
Keyword(s):  
Metallic Glass ◽  
Bond Strength ◽  
Temperature Dependence ◽  
Coordination Number ◽  
Atomic Motion ◽  
Structural Units ◽  
Mean Values ◽  
Glass Forming ◽  
The Mean ◽  
Fluctuation Model

The relation between fragility and cooperativity of atomic motion in bulk metallic glass forming liquids is studied based on the bond strength-coordination number fluctuation model. The model describes the temperature dependence of the viscosity in terms of the mean values of the bond strength, coordination number and their fluctuations of the structural units that form the melt. According to the model, the cooperativity increases with the increase of fragility. The model estimates that the magnitude of the cooperativityNBextends approximately from 7 to 60 structural units, depending on the material. The temperature dependence ofNBfor different metallic glass forming systems reveals thatNBincreases with the decrease of temperature. The relation betweenNBand diffusivity of atoms is discussed briefly.

A Multi-Label Classification Algorithm Based on Random Walk Model

2010 ◽  
Vol 33 (8) ◽  
pp. 1418-1426 ◽  
Author(s):  
Wei ZHENG ◽  
Chao-Kun WANG ◽  
Zhang LIU ◽  
Jian-Min WANG
Keyword(s):  
Random Walk ◽  
Classification Algorithm ◽  
Random Walk Model
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