Analysis of Normal and Abnormal Cell Growth. Model-System Formulations and Analog Computer Studies. Ferdinand Heinmets. Plenum Press, New York, 1966. 302 pp., illus. $12.50

Science ◽  
1967 ◽  
Vol 157 (3788) ◽  
pp. 536-536 ◽  
Author(s):  
M. Sugita
1992 ◽  
Vol 27 (4) ◽  
pp. 947-955 ◽  
Author(s):  
G. E. W. Schulze ◽  
W. A. Schulze

2010 ◽  
Vol 52 (1) ◽  
pp. 46-58 ◽  
Author(s):  
BRUCE VAN BRUNT ◽  
M. VLIEG-HULSTMAN

AbstractA boundary-value problem for cell growth leads to an eigenvalue problem. In this paper some properties of the eigenfunctions are studied. The first eigenfunction is a probability density function and is of importance in the cell growth model. We sharpen an earlier uniqueness result and show that the distribution is unimodal. We then show that the higher eigenfunctions have nested zeros. We show that the eigenfunctions are not mutually orthogonal, but that there are certain orthogonality relations that effectively partition the set of eigenfunctions into two sets.


1989 ◽  
Vol 24 (9) ◽  
pp. 3101-3106 ◽  
Author(s):  
G. E. W. Schulze ◽  
H. -P. Wilbert

2017 ◽  
Vol 41 (4) ◽  
pp. 1541-1553 ◽  
Author(s):  
Messoud Efendiev ◽  
Bruce van Brunt ◽  
Graeme C. Wake ◽  
Ali Ashher Zaidi

1998 ◽  
Vol 538 ◽  
Author(s):  
M.A. Miodownik ◽  
E.A. Holm ◽  
A.W. Godfrey ◽  
D.A. Hughes ◽  
R. Lesar

AbstractWe propose a multi length scale approach to modeling recrystallization which links a dislocation model, a cell growth model and a macroscopic model. Although this methodology and linking framework will be applied to recrystallization, it is also applicable to other types of phase transformations in bulk and layered materials. Critical processes such as the dislocation structure evolution, nucleation, the evolution of crystal orientations into a preferred texture, and grain size evolution all operate at different length scales. In this paper we focus on incorporating experimental measurements of dislocation substructures, misorientation measurements of dislocation boundaries, and dislocation simulations into a mesoscopic model of cell growth. In particular, we show how feeding information from the dislocation model into the cell growth model can create realistic initial microstructures.


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