Size Dependence of the Shear Modulus in a Two-Dimensional Solid

1984 ◽  
Vol 53 (24) ◽  
pp. 2351-2351 ◽  
Author(s):  
William G. Hoover ◽  
J. Andrew Combs ◽  
Carlo Massobrio
1982 ◽  
Vol 49 (3) ◽  
pp. 212-215 ◽  
Author(s):  
F. Gallet ◽  
G. Deville ◽  
A. Valdès ◽  
F. I. B. Williams

2002 ◽  
Vol 57 (2) ◽  
pp. 219-225 ◽  
Author(s):  
A Wille ◽  
F Valmont ◽  
K Zahn ◽  
G Maret

1994 ◽  
Vol 49 (22) ◽  
pp. 16074-16077 ◽  
Author(s):  
R. Šášik ◽  
D. Stroud

2019 ◽  
Vol 29 (1) ◽  
pp. 58-68 ◽  
Author(s):  
Graeme Gillies

Abstract The rheological and structural properties of cheese govern many physical processes associated with cheese such as slumping, slicing and melting. To date there is no quantitative model that predicts shear modulus, viscosity or any other rheological property across the entire range of cheeses; only empirical fits that interpolate existing data. A lack of a comprehensive model is in part due to the many variables that can affect rheology such as salt, pH, calcium levels, protein to moisture ratio, age and temperature. By modelling the casein matrix as a series core-shell nano particles assembled from calcium and protein these variables can be reduced onto a simpler two-dimensional format consisting of attraction and equivalent hard sphere volume fraction. Approximating the interaction between core-shell nano particles with a Mie potential enables numerical predictions of shear moduli. More qualitatively, this two-dimensional picture can be applied quite broadly and captures the viscoelastic behaviour of soft and hard cheeses as well as their melting phenomena.


2019 ◽  
Vol 123 (24) ◽  
pp. 15251-15257 ◽  
Author(s):  
Qikun Li ◽  
Sheng Bi ◽  
Jingyuan Bu ◽  
Chaolong Tang ◽  
Zhongliang Ouyang ◽  
...  

2015 ◽  
Vol 17 (33) ◽  
pp. 21182-21189 ◽  
Author(s):  
Kosuke Sugawa ◽  
Tsuyoshi Akiyama ◽  
Yoshimasa Tanoue ◽  
Takashi Harumoto ◽  
Sayaka Yanagida ◽  
...  

Densely arranged two-dimensional assemblies of larger plasmonic Au(core)–Ag(shell) nanospheres promising for the development of highly sensitive SERS sensor platforms.


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