Roughness of two nonintersecting one-dimensional interfaces.

Phys Rev E Stat Nonlin Soft Matter Phys

Department of Physics, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland.

Published: October 2007

The dynamics of two spatially discrete one-dimensional single-step model interfaces with a noncrossing constraint is studied in both nonsymmetric propagating and symmetric relaxing cases. We consider possible scaling scenarios and study a few special cases by using continuous-time Monte Carlo simulations. The roughness of the interfaces is observed to be nonmonotonic as a function of time, and in the stationary state it is nonmonotonic also as a function of the strength of the effective force driving the interfaces against each other. This is related on the one hand to the reduction of the available configuration space and on the other hand to the ability of the interfaces to conform to each other.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.76.041607DOI Listing

Publication Analysis

Top Keywords

nonmonotonic function
8
interfaces
5
roughness nonintersecting
4
nonintersecting one-dimensional
4
one-dimensional interfaces
4
interfaces dynamics
4
dynamics spatially
4
spatially discrete
4
discrete one-dimensional
4
one-dimensional single-step
4

Similar Publications

Among the most investigated hypotheses for a radiobiological explanation of the mechanism behind the FLASH effect in ultra-high dose rate radiotherapy, intertrack recombination between particle tracks arriving at a close spatiotemporal distance has been suggested. In the present work, we examine these conditions for different beam qualities and energies, defining the limits of both space and time where a non-negligible chemical effect is expected. To this purpose the TRAX-CHEM chemical track structure Monte Carlo code has been extended to handle several particle tracks at the same time, separated by pre-defined spatial and temporal distances.

View Article and Find Full Text PDF

Background: We evaluated air emissions of industrial compounds, many of which have carcinogenic or endocrine disrupting properties, in relation to breast cancer incidence.

Methods: Using the United States Environmental Protection Agency's Toxics Release Inventory, we quantified air emissions of 28 compounds near Sister Study participants' residences during the 10 years leading up to study enrollment (2003-2006; n=46,150). We used Cox proportional hazards regression to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for associations of residential emission levels of single pollutants with incident breast cancer.

View Article and Find Full Text PDF

Modeling of lifetime scenarios with non-monotonic failure rates.

PLoS One

January 2025

Mathematics and Computer Science Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.

The Weibull distribution is an important continuous distribution that is cardinal in reliability analysis and lifetime modeling. On the other hand, it has several limitations for practical applications, such as modeling lifetime scenarios with non-monotonic failure rates. However, accurate modeling of non-monotonic failure rates is essential for achieving more accurate predictions, better risk management, and informed decision-making in various domains where reliability and longevity are critical factors.

View Article and Find Full Text PDF

Topological Bardeen-Cooper-Schrieffer theory of superconducting quantum rings.

Eur Phys J B

January 2025

Department of Physics "A. Pontremoli", University of Milan, Via Celoria 16, 20133 Milan, Italy.

Abstract: Quantum rings have emerged as a playground for quantum mechanics and topological physics, with promising technological applications. Experimentally realizable quantum rings, albeit at the scale of a few nanometers, are 3D nanostructures. Surprisingly, no theories exist for the topology of the Fermi sea of quantum rings, and a microscopic theory of superconductivity in nanorings is also missing.

View Article and Find Full Text PDF

This paper presents a novel extension of the exponentiated inverse Rayleigh distribution called the half-logistic exponentiated inverse Rayleigh distribution. This extension improves the flexibility of the distribution for modeling lifetime data for both monotonic and non-monotonic hazard rates. The statistical properties of the half-logistic exponentiated inverse Rayleigh distribution, such as the quantiles, moments, reliability, and hazard function, are examined.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!