Characterizing spin ordering via maximal row correlation in classical spin models.
basic_science · Level V
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- Record sourced from PubMed, PMID 41116393.
- Also identified by DOI 10.1103/qqyv-jhgg.
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Abstract
An order parameter, termed the maximal row correlation, is proposed for classical spin systems. Monte Carlo simulations on various Potts models suggest that this order parameter is applicable to a broad range of spin systems, including those defined on irregular lattices, systems with frustration, and systems exhibiting partial orders, provided some degree of spin ordering is present. This approach offers a unified framework for investigating phase transitions in such complex systems. The associated critical exponents are estimated via finite-size scaling analysis and show good agreement with established values.