Journals / ARI The Bulletin of the Istanbul Technical University / 2004 / Cilt: 54 - Sayı: 2

Knot probability for self-avoiding loops on a cubic lattice

Pages
1–5
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Our method produces knot probabilities slightly higher than those obtained by Yao et al.[1] using a Monte Carlo method to generate loops.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We investigate the probability for appearance of knots in self-avoiding loops (SALs) on a cubic lattice.
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Key Findings & Data:A set of N-step loops is generated by attempting to combine pairs of N/2-step self-avoiding walks constructed by a dimerization method.
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Conclusion & Impact:Our method produces knot probabilities slightly higher than those obtained by Yao et al.[1] using a Monte Carlo method to generate loops.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

We investigate the probability for appearance of knots in self-avoiding loops (SALs) on a cubic lattice. A set of N-step loops is generated by attempting to combine pairs of N/2-step self-avoiding walks constructed by a dimerization method. We demonstrate that our method produces unbiased samples of SALs, and study the knot formation probability as a function of loop size. Our method produces knot probabilities slightly higher than those obtained by Yao et al.[1] using a Monte Carlo method to generate loops.

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Cite This Article

KANTOR, Y., KARDAR, M. (2022). Knot probability for self-avoiding loops on a cubic lattice. ARI The Bulletin of the Istanbul Technical University, Cilt: 54 - Sayı: 2, 1–5. https://ajindex.com/articles/448152

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