scholarly journals Bacterial Cultivation Using Sephadex® As a Diffusion Matrix

1967 ◽  
Vol 8 (1) ◽  
pp. 39-42
Author(s):  
Bengt Bergrahm
Keyword(s):  
Diffusion Matrix

scholarly journals Variational Principle for Linear Relaxation Relations

1979 ◽  
Vol 34 (11) ◽  
pp. 1275-1278 ◽  
Author(s):  
S. Grossmann
Keyword(s):  
Variational Principle ◽  
Linear Relaxation ◽  
Relaxation Phenomena ◽  
Diffusion Matrix ◽  
Onsager Symmetry

A variational principle for linear relaxation phenomena is considered. I t connects relaxation with anti-relaxation. The latter one is governed by the transposed transport matrix and, in addition, by the diffusion matrix, which drops if Onsager-symmetry holds. This generalizes an earlier result by L. Waldmann

scholarly journals Diffusion of Conserved Charges in Relativistic Heavy Ion Collisions

Proceedings ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 31
Author(s):  
Jan A. Fotakis ◽  
Moritz Greif ◽  
Gabriel S. Denicol ◽  
Carsten Greiner
Keyword(s):  
Diffusion Coefficients ◽  
Coefficient Matrix ◽  
Heavy Ion ◽  
Relativistic Heavy Ion Collisions ◽  
Navier Stokes ◽  
Diffusion Matrix ◽  
Conserved Charges ◽  
Ion Collisions ◽  
Hadron Gas ◽  
Dilute System

We discuss the diffusion currents occurring in a dilute system and show that the charge currents do not only depend on gradients in the corresponding charge density, but also on the other conserved charges in the system—the diffusion currents are therefore coupled. Gradients in one charge thus generate dissipative currents in a different charge. In this approach, we model the Navier-Stokes term of the generated currents to consist of a diffusion coefficient matrix, in which the diagonal entries are the usual diffusion coefficients and the off-diagonal entries correspond to the coupling of different diffusion currents. We evaluate the complete diffusion matrix for a specific hadron gas and for a simplified quark-gluon gas, including baryon, electric and strangeness charge. Our findings are that the off-diagonal entries can range within the same magnitude as the diagonal ones.

Atomic mobility evaluation and diffusion matrix for fcc_A1 Co–V–W alloys

2019 ◽  
Vol 54 (20) ◽  
pp. 13420-13432 ◽  
Author(s):  
Shiyi Wen ◽  
Yong Du ◽  
Yuling Liu ◽  
Peng Zhou ◽  
Zi-kui Liu
Keyword(s):  
Atomic Mobility ◽  
Diffusion Matrix ◽  
And Diffusion

scholarly journals Calculation of secondary electron production using a diffusion matrix

Scanning ◽  
1991 ◽  
Vol 13 (3) ◽  
pp. 227-232 ◽  
Author(s):  
Z. Czyżewski ◽  
D. C. Joy
Keyword(s):  
Secondary Electron ◽  
Diffusion Matrix ◽  
Electron Production

Extracting principal parameters of complex networks

2015 ◽  
Vol 26 (09) ◽  
pp. 1550103
Author(s):  
Yifang Ma ◽  
Zhiming Zheng
Keyword(s):  
Dynamic Systems ◽  
Growth Process ◽  
Dimensional Space ◽  
High Dimensional ◽  
Scale Function ◽  
Control Parameters ◽  
Diffusion Matrix ◽  
Similarity Relations ◽  
Low Dimensional ◽  
Network Ensembles

The evolution of networks or dynamic systems is controlled by many parameters in high-dimensional space, and it is crucial to extract the reduced and dominant ones in low-dimensional space. Here we consider the network ensemble, introduce a matrix resolvent scale function and apply it to a spectral approach to get the similarity relations between each pair of networks. The concept of Diffusion Maps is used to get the principal parameters, and we point out that the reduced dimensional principal parameters are captured by the low order eigenvectors of the diffusion matrix of the network ensemble. We validate our results by using two classical network ensembles and one dynamical network sequence via a cooperative Achlioptas growth process where an abrupt transition of the structures has been captured by our method. Our method provides a potential access to the pursuit of invisible control parameters of complex systems.

Trace element distributions between the perthite phases of alkali feldspars from pegmatites

1982 ◽  
Vol 45 (337) ◽  
pp. 101-106 ◽  
Author(s):  
R. A. Mason
Keyword(s):  
Trace Elements ◽  
Trace Element ◽  
Distribution Coefficients ◽  
Ion Microprobe ◽  
Diffusion Matrix ◽  
Alkali Feldspars

AbstractThe distribution of various trace elements between the K-feldspar and albite phases of perthites from several pegmatites was determined by ion microprobe. Ranges in distribution coefficients (wt. % in K-feldspar/wt. % in albite) are: Li, 1.2–780; Mg, 0.2–1.1; P, 0.1–17; Ca, 0.02–1.6; Cs, 32–820; Ba, 24–284; Pb, 1.6–30; Fe, 0.3–0.7; Rb, 59–5505; Sr, 1.3–5.1. The trace elements are zoned within the K-feldspar lamellae and the profiles are interpreted as the result of cross coefficients in the diffusion matrix.

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