Linear-Network Model for Magnetic Breakdown in Two Dimensions

1965 ◽  
Vol 140 (1A) ◽  
pp. A135-A143 ◽  
Author(s):  
W. G. Chambers
Keyword(s):  
Network Model ◽  
Two Dimensions ◽  
Linear Network ◽  
Magnetic Breakdown

Melting transition of a network model in two dimensions

2000 ◽  
Vol 1 (2-3) ◽  
pp. 153-157 ◽  
Author(s):  
G. Gompper ◽  
D.M. Kroll
Keyword(s):  
Network Model ◽  
Two Dimensions ◽  
Melting Transition

Magnetic Breakdown in a dislocated lattice

1965 ◽  
Vol 287 (1409) ◽  
pp. 165-182 ◽  
Keyword(s):  
Electrical Conductivity ◽  
Random Walk ◽  
Dislocation Density ◽  
Network Model ◽  
Random Phase ◽  
Two Dimensional ◽  
Magnetic Breakdown ◽  
Low Dislocation Density ◽  
Electron Orbit ◽  
Straight Lines

The network model of electron orbits coupled by magnetic breakdown is extended to a two dimensional metal containing dislocations. It is shown that the network is still likely to be a valid representation, but the phase lengths of the arms are altered, and a very low dislocation density (about one per electron orbit) is enough to produce almost complete randomization. The Bloch-like quasi-particles that can travel in straight lines on a perfect network are now heavily scattered, and it is preferable to think of electrons performing a random walk on the arms of the network, although the justification for this procedure is somewhat doubtful. A simpler alternative to Falicov & Sievert’s method is presented for calculating the electrical conductivity of a random-phase network, and is extended to cases where randomness affects only some of the phases, as is believed to be the situation in real metals like zinc and magnesium.

Gaussian mixture regression and local linear network model for data-driven estimation of air mass

2015 ◽  
Vol 9 (7) ◽  
pp. 1083-1092 ◽  
Author(s):  
Bjoern Kolewe ◽  
Torsten Jeinsch ◽  
Robert Beckmann ◽  
Adel Haghani
Keyword(s):  
Network Model ◽  
Gaussian Mixture ◽  
Data Driven ◽  
Linear Network ◽  
Air Mass ◽  
Mixture Regression ◽  
Local Linear

A new approach for AC state estimation based on a linear network model

2013 ◽  
Author(s):  
Amir Safdarian ◽  
Mahmud Fotuhi-Firuzabad ◽  
Farrokh Aminifar ◽  
Matti Lehtonen ◽  
Aydogan Ozdemir
Keyword(s):  
State Estimation ◽  
Network Model ◽  
Linear Network ◽  
New Approach

A self-consistent lumped radio frequency linear network model for MOSFETs taking into account the gate resistance

1999 ◽  
Vol 77 (5) ◽  
pp. 371-384 ◽  
Author(s):  
E Abou-Allam ◽  
T Manku ◽  
C -H Chen ◽  
M J Deen
Keyword(s):  
Network Model ◽  
Noise Resistance ◽  
Linear Network ◽  
Third Order ◽  
Mos Transistor ◽  
Consistent Model ◽  
Self Consistent ◽  
In Series ◽  
Gate Resistance ◽  
Equivalent Noise Resistance

This paper describes a self-consistent lumped linear network model for MOSFETs that takes into account the distributed nature of the gate resistance. The model is verified with experimental results. The self-consistent model consists of placing a lumped resistance in series with the gate. The lumped resistance takes the value of the total gate resistance divided by a factor of three. To second order in jω, this is shown to be almost an exact approximation in determining all y-parameters and the equivalent noise resistance. The third-order terms, however, give rise to a 17% error. The value of ft for a MOS transistor shows no dependence with the gate resistance to all orders in jω. Furthermore, we also show that the thermal noise arising from the distributed gate resistance does not contribute to any additional equivalent input current noise. PACS No.: 73.40

Linear Network Model of Gene Regulation for the Yeast Cell Cycle

2004 ◽  
Vol 44 (3) ◽  
pp. 638 ◽  
Author(s):  
Yoon Chang No ◽  
Han Seung Kee ◽  
Kim Hak Yong
Keyword(s):  
Cell Cycle ◽  
Gene Regulation ◽  
Yeast Cell ◽  
Network Model ◽  
Yeast Cell Cycle ◽  
Linear Network

scholarly journals Cellular non-linear network model of microbial fuel cell

Biosystems ◽  
2017 ◽  
Vol 156-157 ◽  
pp. 53-62 ◽  
Author(s):  
Michail-Antisthenis Tsompanas ◽  
Andrew Adamatzky ◽  
Ioannis Ieropoulos ◽  
Neil Phillips ◽  
Georgios Ch. Sirakoulis ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Network Model ◽  
Linear Network ◽  
Non Linear
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