{"title":"三维聚合物的分子大小、多分散性和分支单位分布函数的概率方法:Flory在1941年工作的延续","authors":"Yinghao Li, Jing Lyu, Wenxin Wang","doi":"10.1021/acs.macromol.5c00090","DOIUrl":null,"url":null,"abstract":"This study extends Flory’s 1941 foundational work on three-dimensional step-growth polymerization (SGP) with trifunctional branching units. Flory laid the groundwork for understanding polymer size distribution back then, however, he did not fully explore the polydispersity and/or average degree of polymerization in A<sub>2</sub> + A<sub>3</sub> and A<sub>2</sub> + A<sub>3</sub> + B<sub>2</sub> types of systems. As the demand for advanced three-dimensional polymer materials grows, a more comprehensive theoretical framework is required. In this work, new analytical expressions are derived for the number-average (<i>X</i><sub>n</sub>), weight-average (<i>X</i><sub>w</sub>) degree of polymerization, and polydispersity (Đ) of trifunctional branched polymers through Flory’s probability method. Additionally, we introduce the concept of Branch Unit Distribution (BUD), which has not been previously investigated. This new theoretical concept is validated through comparison with both experimental results and Monte Carlo simulations. Our findings provide new insights into the internal structure of three-dimensional branched polymers, offering valuable guidance for future design and development of novel materials from SGPs.","PeriodicalId":51,"journal":{"name":"Macromolecules","volume":"5 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probability Method of Molecular Size, Polydispersity, and Branch Unit Distribution Function for the Three-Dimensional Polymers: A Continuation of Flory’s Work in 1941\",\"authors\":\"Yinghao Li, Jing Lyu, Wenxin Wang\",\"doi\":\"10.1021/acs.macromol.5c00090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study extends Flory’s 1941 foundational work on three-dimensional step-growth polymerization (SGP) with trifunctional branching units. Flory laid the groundwork for understanding polymer size distribution back then, however, he did not fully explore the polydispersity and/or average degree of polymerization in A<sub>2</sub> + A<sub>3</sub> and A<sub>2</sub> + A<sub>3</sub> + B<sub>2</sub> types of systems. As the demand for advanced three-dimensional polymer materials grows, a more comprehensive theoretical framework is required. In this work, new analytical expressions are derived for the number-average (<i>X</i><sub>n</sub>), weight-average (<i>X</i><sub>w</sub>) degree of polymerization, and polydispersity (Đ) of trifunctional branched polymers through Flory’s probability method. Additionally, we introduce the concept of Branch Unit Distribution (BUD), which has not been previously investigated. This new theoretical concept is validated through comparison with both experimental results and Monte Carlo simulations. Our findings provide new insights into the internal structure of three-dimensional branched polymers, offering valuable guidance for future design and development of novel materials from SGPs.\",\"PeriodicalId\":51,\"journal\":{\"name\":\"Macromolecules\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-05-21\",\"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.5c00090\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"POLYMER SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macromolecules","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.macromol.5c00090","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
Probability Method of Molecular Size, Polydispersity, and Branch Unit Distribution Function for the Three-Dimensional Polymers: A Continuation of Flory’s Work in 1941
This study extends Flory’s 1941 foundational work on three-dimensional step-growth polymerization (SGP) with trifunctional branching units. Flory laid the groundwork for understanding polymer size distribution back then, however, he did not fully explore the polydispersity and/or average degree of polymerization in A2 + A3 and A2 + A3 + B2 types of systems. As the demand for advanced three-dimensional polymer materials grows, a more comprehensive theoretical framework is required. In this work, new analytical expressions are derived for the number-average (Xn), weight-average (Xw) degree of polymerization, and polydispersity (Đ) of trifunctional branched polymers through Flory’s probability method. Additionally, we introduce the concept of Branch Unit Distribution (BUD), which has not been previously investigated. This new theoretical concept is validated through comparison with both experimental results and Monte Carlo simulations. Our findings provide new insights into the internal structure of three-dimensional branched polymers, offering valuable guidance for future design and development of novel materials from SGPs.
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.