{"title":"Can Dynamic Helical Polymers be Reduced to Linear Chains of Spins? Non-Local Effects from Polymer Self-Avoidance","authors":"Keerti Chauhan, Marcus Müller, Kostas Ch Daoulas","doi":"10.1021/acs.macromol.4c03197","DOIUrl":null,"url":null,"abstract":"Cooperative chiral order in dynamic helical polymers (DHPs) is commonly understood through their reduction to one-dimensional (1D) Ising-spin chains. In this framework, each spin, adopting the values σ = −1 and σ = 1, represents a left- and right-handed helical twist. Spins interact ferromagnetically, capturing the energetic cost of boundaries between domains of opposite chirality. All current spin models of DHPs assume that nearest-neighbor (NN) spin–spin interactions suffice to describe the system. We challenge this assumption using a minimal molecular model to investigate whether the self-avoidance of DHP chains, due to excluded volume, induces an effective, non-local coupling of spins. Our approach combines a 1D description of helicity, based on NN spin–spin interactions, with an explicit representation of DHPs as freely-jointed chains with flexible hinges. We generate both ideal and self-avoiding chain conformations through a Monte Carlo scheme. For ideal chains, the spin behavior agrees with the predictions of a NN 1D Ising model with coupling strength <i>J</i>. However, we find that chain self-avoidance does create effective long-range interactions, as demonstrated by spin–spin correlation functions and free-energy calculations. These interactions renormalize <i>J</i> and lead to finite-size effects that are inconsistent with the NN 1D Ising behavior.","PeriodicalId":51,"journal":{"name":"Macromolecules","volume":"75 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macromolecules","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.macromol.4c03197","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Cooperative chiral order in dynamic helical polymers (DHPs) is commonly understood through their reduction to one-dimensional (1D) Ising-spin chains. In this framework, each spin, adopting the values σ = −1 and σ = 1, represents a left- and right-handed helical twist. Spins interact ferromagnetically, capturing the energetic cost of boundaries between domains of opposite chirality. All current spin models of DHPs assume that nearest-neighbor (NN) spin–spin interactions suffice to describe the system. We challenge this assumption using a minimal molecular model to investigate whether the self-avoidance of DHP chains, due to excluded volume, induces an effective, non-local coupling of spins. Our approach combines a 1D description of helicity, based on NN spin–spin interactions, with an explicit representation of DHPs as freely-jointed chains with flexible hinges. We generate both ideal and self-avoiding chain conformations through a Monte Carlo scheme. For ideal chains, the spin behavior agrees with the predictions of a NN 1D Ising model with coupling strength J. However, we find that chain self-avoidance does create effective long-range interactions, as demonstrated by spin–spin correlation functions and free-energy calculations. These interactions renormalize J and lead to finite-size effects that are inconsistent with the NN 1D Ising behavior.
期刊介绍:
Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.