Numerical study of roughness distributions in nonlinear models of interface growth

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

12 pages, including 4 figures; accepted in Phys. Rev. E

Scientific paper

We analyze the shapes of roughness distributions of discrete models in the Kardar, Parisi and Zhang (KPZ) and in the Villain, Lai and Das Sarma (VLDS) classes of interface growth, in one and two dimensions. Three KPZ models in d=2 confirm the expected scaling of the distribution and show a stretched exponential tail approximately as exp[-x^(0.8)], with a significant asymmetry near the maximum. Conserved restricted solid-on-solid models belonging to the VLDS class were simulated in d=1 and d=2. The tail in d=1 has the form exp(-x^2) and, in d=2, has a simple exponential decay, but is quantitatively different from the distribution of the linear fourth-order (Mullins-Herring) theory. It is not possible to fit any of the above distributions to those of 1/f^\alpha noise interfaces, in contrast with recently studied models with depinning transitions.

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

Numerical study of roughness distributions in nonlinear models of interface growth 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 Numerical study of roughness distributions in nonlinear models of interface growth, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Numerical study of roughness distributions in nonlinear models of interface growth will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-576485

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