Nonlinear random resistor diode networks and fractal dimensions of directed percolation clusters

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

18 pages, 3 figures, minor changes

Scientific paper

10.1103/PhysRevE.64.016135

We study nonlinear random resistor diode networks at the transition from the non percolating to the directed percolating phase. The resistor-like bonds and the diode-like bonds under forward bias voltage obey a generalized Ohm's law, $V \sim I^r$. Based on general grounds as symmetries and relevance we develop a field theoretic model. We focus on the average two-port resistance, which is governed at the transition by the resistance exponent $\phi_r$. By employing renormalization group methods we calculate $\phi_r$ for arbitrary $r$ to one-loop order. Then we address the fractal dimensions characterizing directed percolation clusters. Via considering distinct values of the nonlinearity $r$, we determine the dimension of the red bonds, the chemical path and the backbone to two-loop order.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Nonlinear random resistor diode networks and fractal dimensions of directed percolation clusters does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Nonlinear random resistor diode networks and fractal dimensions of directed percolation clusters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonlinear random resistor diode networks and fractal dimensions of directed percolation clusters will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-436698

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.