{"title":"预机械训练使动态共价聚合物网络的机械强化:从分子动力学模拟的见解","authors":"Qionghai Chen, Pengwei Duan, Liqun Zhang, Jun Liu","doi":"10.1021/acs.macromol.4c03208","DOIUrl":null,"url":null,"abstract":"To address the growing demand for highly tunable mechanical properties in polymer networks, this study introduces a novel premechanical training (PMT) method based on bond exchange reactions (BERs), which allows for extensive modulation and tailoring of mechanical properties by inducing polymer network anisotropy. The PMT process can modulate the alignment of linear polymer ends according to the uniaxial deformation ratio <i>λ</i> during the BER phase: they tend to align parallel and perpendicular to the <i>Z</i>-axis (deformation direction) for <i>λ</i> < 1.00 and <i>λ</i> > 1.00, respectively. The degree of alignment is intensified by increasing the deviation of <i>λ</i> from 1.00 and extending the BER duration. This oriented arrangement of linear polymers induces anisotropy in the polymer network, which is fundamental for achieving the modulation of mechanical properties. When linear polymers tend to be aligned parallel to the <i>Z</i>-axis (<i>λ</i> < 1.00), significant enhancements in tensile strength, storage modulus, and toughness are achieved. In contrast, perpendicular alignment of linear polymers results in increased loss factor and fracture strain. More importantly, based on this mechanical property modulation mechanism, further personalization of mechanical properties can be achieved. In summary, this PMT approach leveraging BERs provides a versatile and effective strategy for modulating and tailoring the overall mechanical properties of polymer networks, offering substantial potential for the development of high-performance polymeric materials.","PeriodicalId":51,"journal":{"name":"Macromolecules","volume":"45 1","pages":""},"PeriodicalIF":5.2000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Premechanical Training Enables Mechanical Reinforcement of Dynamic Covalent Polymer Networks: Insights from Molecular Dynamics Simulations\",\"authors\":\"Qionghai Chen, Pengwei Duan, Liqun Zhang, Jun Liu\",\"doi\":\"10.1021/acs.macromol.4c03208\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To address the growing demand for highly tunable mechanical properties in polymer networks, this study introduces a novel premechanical training (PMT) method based on bond exchange reactions (BERs), which allows for extensive modulation and tailoring of mechanical properties by inducing polymer network anisotropy. The PMT process can modulate the alignment of linear polymer ends according to the uniaxial deformation ratio <i>λ</i> during the BER phase: they tend to align parallel and perpendicular to the <i>Z</i>-axis (deformation direction) for <i>λ</i> < 1.00 and <i>λ</i> > 1.00, respectively. The degree of alignment is intensified by increasing the deviation of <i>λ</i> from 1.00 and extending the BER duration. This oriented arrangement of linear polymers induces anisotropy in the polymer network, which is fundamental for achieving the modulation of mechanical properties. When linear polymers tend to be aligned parallel to the <i>Z</i>-axis (<i>λ</i> < 1.00), significant enhancements in tensile strength, storage modulus, and toughness are achieved. In contrast, perpendicular alignment of linear polymers results in increased loss factor and fracture strain. More importantly, based on this mechanical property modulation mechanism, further personalization of mechanical properties can be achieved. In summary, this PMT approach leveraging BERs provides a versatile and effective strategy for modulating and tailoring the overall mechanical properties of polymer networks, offering substantial potential for the development of high-performance polymeric materials.\",\"PeriodicalId\":51,\"journal\":{\"name\":\"Macromolecules\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-05-22\",\"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.4c03208\",\"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.4c03208","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
Premechanical Training Enables Mechanical Reinforcement of Dynamic Covalent Polymer Networks: Insights from Molecular Dynamics Simulations
To address the growing demand for highly tunable mechanical properties in polymer networks, this study introduces a novel premechanical training (PMT) method based on bond exchange reactions (BERs), which allows for extensive modulation and tailoring of mechanical properties by inducing polymer network anisotropy. The PMT process can modulate the alignment of linear polymer ends according to the uniaxial deformation ratio λ during the BER phase: they tend to align parallel and perpendicular to the Z-axis (deformation direction) for λ < 1.00 and λ > 1.00, respectively. The degree of alignment is intensified by increasing the deviation of λ from 1.00 and extending the BER duration. This oriented arrangement of linear polymers induces anisotropy in the polymer network, which is fundamental for achieving the modulation of mechanical properties. When linear polymers tend to be aligned parallel to the Z-axis (λ < 1.00), significant enhancements in tensile strength, storage modulus, and toughness are achieved. In contrast, perpendicular alignment of linear polymers results in increased loss factor and fracture strain. More importantly, based on this mechanical property modulation mechanism, further personalization of mechanical properties can be achieved. In summary, this PMT approach leveraging BERs provides a versatile and effective strategy for modulating and tailoring the overall mechanical properties of polymer networks, offering substantial potential for the development of high-performance polymeric materials.
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.