Comment on "Parameter-free scaling for nonequilibrium growth processes"
A. Kolakowska

TL;DR
This paper critically examines a proposed parameter-free scaling method for nonequilibrium growth models, demonstrating that it does not reflect the underlying stochastic dynamics or replace the universal Family-Vicsek scaling.
Contribution
The paper provides an explicit form of the scaling for competitive growth models and clarifies its limitations compared to the traditional Family-Vicsek scaling.
Findings
The parameter-free scaling results from a shift-and-scale operator.
This scaling does not encode stochastic dynamics.
It is unrelated to the universal Family-Vicsek function.
Abstract
In the paper [Phys.Rev.E Vol.79, 051605 (2009)] by Chou and Pleimling a claim is made that a parameter-free scaling that gives data collapse for some simulation models would replace universal Family-Vicsek (FV) scaling. Here, by giving the explicit form of this scaling for competitive growth models, it is shown that data collapse in this procedure is obtained by a shift-and-scale operator that gives no information about stochastic dynamics and has no relation with FV function.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Theoretical and Computational Physics
