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Generalized interacting self-avoiding trails on the square lattice: phase diagram and critical behavior
1Laboratoire de Physique Théorique et Modélisation (CNRS UMR 8089), Université de Cergy-Pontoise, 2 avenue A. Chauvin, F-95302 Cergy-Pontoise cedex, France.
This study introduces a generalized model for interacting self-avoiding trails, incorporating collisions and rigidity. The research reveals that the collapse behavior mirrors that of the pure interacting self-avoiding trail model.
Area of Science:
- Statistical mechanics
- Polymer physics
- Condensed matter physics
Background:
- Self-avoiding walks and trails are fundamental models in statistical physics.
- Understanding interactions and rigidity is crucial for modeling complex polymer systems.
- Existing models like the Nienhuis O(n=0) model offer insights but lack generalized interaction types.
Purpose of the Study:
- To present and analyze a generalized model for interacting self-avoiding trails on a square lattice.
- To incorporate distinct interaction types: on-site double visits (collisions) and crossings.
- To investigate the effect of rigidity on trail behavior and collapse phenomena.
Main Methods:
- Numerical transfer matrix methods were employed for simulation and analysis.
- The generalized model was systematically studied to observe emergent behaviors.
- Comparison with established models like the pure interacting self-avoiding trail model was performed.
Main Results:
- The generalized model successfully incorporates both collisions and crossings, alongside rigidity.
- The study demonstrates that the generic collapse behavior is consistent with the pure interacting self-avoiding trail model.
- The model provides a unified framework encompassing special cases like the Nienhuis O(n=0) model.
Conclusions:
- The generalized interacting self-avoiding trail model offers a more comprehensive description of polymer-like systems.
- The observed collapse behavior suggests universality under certain conditions, even with added complexity.
- This work advances the understanding of phase transitions and conformational properties in interacting trail systems.
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