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Published on: May 10, 2019
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Many universality classes in an interface model restricted to non-negative heights.
Peter Grassberger1,2, Deepak Dhar3, P K Mohanty4
1JSC, FZ Jülich, D-52425 Jülich, Germany.
Physical Review. E
|May 18, 2023
Summary
We developed a simple stochastic model exhibiting diverse phase transitions. The model
Area of Science:
- Statistical Physics
- Complex Systems Modeling
Background:
- Growing interfaces are fundamental in various physical phenomena.
- Understanding universality classes, such as Edwards-Wilkinson and Kardar-Parisi-Zhang, is crucial for interface dynamics.
- The constraint n(x,t)≥0 introduces novel behaviors like 'fronts'.
Purpose of the Study:
- To introduce and analyze a novel one-dimensional stochastic model.
- To explore the rich phase transitions and universality classes governed by control parameters.
- To investigate the behavior of 'fronts' and interface detachment phenomena.
Main Methods:
- Development of a one-dimensional stochastic model with a linear interface equation and random noise.
- Analysis of detailed balance conditions to determine universality classes (Edwards-Wilkinson vs. Kardar-Parisi-Zhang).
- Classification of 'front' behavior (pushed vs. pulled) and its relation to directed percolation (DP) and other universality classes.
Main Results:
- The model displays a rich zoo of phase transitions dependent on control parameters.
- Pulled fronts exhibit directed percolation (DP) universality, while pushed fronts show distinct universality classes.
- New universality classes are identified for interface detachment transitions from the n=0 line.
- A mapping to avalanche propagation in a directed Oslo rice pile model is established.
Conclusions:
- The presented stochastic model offers a versatile framework for studying diverse interface phenomena.
- The model unifies several universality classes, including Edwards-Wilkinson, Kardar-Parisi-Zhang, and directed percolation.
- The findings reveal new universality classes associated with front dynamics and interface detachment, expanding our understanding of complex systems.
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