Linear viscoelasticity of living polymers: a quantitative probe of chemical relaxation times

Langmuir ◽  
1991 ◽  
Vol 7 (8) ◽  
pp. 1590-1594 ◽  
Author(s):  
M. S. Turner ◽  
M. E. Cates
2001 ◽  
Vol 64 (2) ◽  
pp. 265-269 ◽  
Author(s):  
R. J. Loy ◽  
C. Newbury ◽  
R. S. Anderssen ◽  
A. R. Davies

In a recent paper, Davies and Anderssen (1997) examined the range of relaxation times, on which the linear viscoelasticity relaxation spectrum could be reconstructed, when the oscillatory shear data were only known on a fixed finite interval of frequencies. In particular, they showed that, for such oscillatory shear data, knowledge about the relaxation spectrum could only be recovered on a specific finite interval of relaxation times. They referred to this phenomenon as sampling localisation. The purpose of this note is show how their result can be proved using a duality argument, and, thereby, establish the fundamental nature of sampling localisation in relaxation spectrum recovery.


Author(s):  
M.J. Hennessy ◽  
E. Kwok

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.


1997 ◽  
Vol 7 (8) ◽  
pp. 1099-1109
Author(s):  
A. Ott ◽  
J. P. Bouchaud ◽  
W. Urbach ◽  
D. Langevin
Keyword(s):  

1999 ◽  
Vol 169 (10) ◽  
pp. 1163
Author(s):  
V.L. Vaks ◽  
V.V. Mityugov
Keyword(s):  

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