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Recent advances in the molecular engineering of synthetic polypeptides: Design, synthesis, functionality, and biological applications 合成多肽分子工程的最新进展:设计、合成、功能和生物学应用
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-10-19 DOI: 10.1016/j.progpolymsci.2025.102040
Prabir Maity , Arjun Singh Bisht , Ankita Kumari , Raj Kumar Roy
Proteins are intricate biomolecules composed of amino acids that perform a wide array of essential biological functions. In recent years, considerable efforts have been made to replicate their structural and functional complexity through synthetic approaches. Among these, the ring-opening polymerization (ROP) of α-amino acid N-carboxyanhydride (NCA) has emerged as the most effective method for synthesizing high-molecular-weight polypeptides on a larger scale. Advances in controlled polymerization techniques, alongside improvements in NCA monomer synthesis, have significantly enhanced the precision and efficiency of polypeptide production. These developments have spurred progress in peptide engineering, enabling the creation of multiblock, branched, and functionally diverse polypeptides, including those incorporating non-natural motifs. Such modifications mimic post-translational modifications found in natural proteins, underscoring the increasing relevance of synthetic polypeptides in designing next-generation functional materials. Synthetic polypeptides and their potential in biomaterial applications have emerged as a highly active research area, particularly following the advent of controlled ROP of NCA monomers. In this article, we present a comprehensive overview of recent progress in the field, primarily over the past decade, emphasizing key developments and emerging directions. Furthermore, it explores how peptide engineering facilitates the development of tailor-made polypeptides with tunable properties, culminating in a discussion on their potential in self-assembly and biomaterials applications.
蛋白质是由氨基酸组成的复杂生物分子,具有广泛的基本生物功能。近年来,在通过合成方法复制其结构和功能复杂性方面做出了相当大的努力。其中,α-氨基酸n -羧酸氢化物(NCA)的开环聚合(ROP)已成为大规模合成高分子量多肽的最有效方法。控制聚合技术的进步,以及NCA单体合成的改进,显著提高了多肽生产的精度和效率。这些发展促进了肽工程的进步,使多片段、分支和功能多样化的多肽得以创造,包括那些包含非自然基序的多肽。这种修饰模仿了在天然蛋白质中发现的翻译后修饰,强调了合成多肽在设计下一代功能材料中的日益重要的意义。合成多肽及其在生物材料中的应用潜力已成为一个高度活跃的研究领域,特别是在NCA单体的可控开环聚合(ROP)出现之后。在本文中,我们对该领域的最新进展进行了全面概述,主要是在过去十年中,强调了关键发展和新兴方向。此外,它还探讨了肽工程如何促进具有可调特性的定制多肽的开发,最终讨论了它们在自组装和生物材料应用中的潜力。
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引用次数: 0
Recent advancements in neutron scattering techniques for quantifying the structure and dynamics of polymers 量化聚合物结构和动力学的中子散射技术的最新进展
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-10-29 DOI: 10.1016/j.progpolymsci.2025.102041
Zhiqiang Cao, Yunfei Wang, Xiaodan Gu
Neutron scattering techniques are powerful tools for characterizing the structure and dynamics of materials. They are particularly well-suited for studying polymer systems, which are typically rich in hydrogen. By combining neutron scattering with deuterium labeling, researchers can unravel complex structural features and dynamic behaviors within these systems. This review highlights recent advances in neutron scattering methods for probing the hierarchical structures and dynamics of polymeric materials, with a focus on developments over the past decade. We begin by discussing elastic techniques—such as small-angle neutron scattering (SANS)—used to examine polymer organization in both solution and solid states. Subsequently, we address the application of neutron reflectometry (NR) and grazing-incidence neutron scattering (GINS) techniques to the study of polymer thin-film structures. Next, we explore inelastic and quasi-elastic techniques, including inelastic neutron scattering (INS), quasi-elastic neutron scattering (QENS), and neutron spin echo (NSE), which provide insight into polymer dynamics across a broad range of time and length scales. Finally, we consider future directions for neutron scattering in soft matter research, emphasizing emerging methodologies and next-generation neutron sources that promise to further advance our understanding of these complex systems.
中子散射技术是表征材料结构和动力学的有力工具。它们特别适合研究通常富含氢的聚合物体系。通过将中子散射与氘标记相结合,研究人员可以揭示这些系统中复杂的结构特征和动态行为。本文综述了用于探测聚合物材料的层次结构和动力学的中子散射方法的最新进展,重点介绍了过去十年的发展。我们首先讨论弹性技术,如小角中子散射(SANS),用于检测聚合物在溶液和固体状态下的组织。随后,我们讨论了中子反射(NR)和掠入射中子散射(GINS)技术在聚合物薄膜结构研究中的应用。接下来,我们将探索非弹性和准弹性技术,包括非弹性中子散射(INS)、准弹性中子散射(QENS)和中子自旋回波(NSE),这些技术可以在广泛的时间和长度尺度上深入了解聚合物动力学。最后,我们考虑了软物质研究中中子散射的未来方向,强调了新兴的方法和下一代中子源,它们有望进一步推进我们对这些复杂系统的理解。
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引用次数: 0
Precise analysis of rheological properties of transient network using model materials 用模型材料精确分析暂态网络的流变特性
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-11-01 DOI: 10.1016/j.progpolymsci.2025.102042
Takuya Katashima
Transient polymer networks, formed by polymer chains linked through reversible bonds, exhibit time-dependent viscoelasticity, that bridges solid-like elasticity and liquid-like flow. These materials have attracted increasing attention due to their potential for self-healing, toughness, and recyclability. Classical models, such as the Green–Tobolsky and Tanaka–Edwards theories, primarily describe stress relaxation by bond dissociation kinetics, assuming homogeneous equilibrium structures and small deformations. However, real-world applications often involve large, dynamic strains, where nonlinear viscoelasticity, finite extensibility, and spatial flow heterogeneity dominate. Conventional systems frequently suffer from structural and dynamic heterogeneities, complicating efforts to connect molecular dynamics with bulk mechanical behavior. To address these challenges, recent studies have developed a model transient network—Tetra-PEG slime—constructed from tetrafunctional polyethylene glycol (PEG) precursors connected via dynamic covalent bonds between phenylboronic acid and diol groups. This system allows for precise control over network connectivity, bond lifetime, and strand architecture, while minimizing unwanted heterogeneities. Leveraging this model, researchers have applied a multimodal approach, combining surface plasmon resonance (SPR), macroscopic rheology, two-dimensional rheo-optics, and particle-tracking microrheology to investigate relaxation behavior across linear and nonlinear regimes. These efforts have uncovered clear correlations between molecular kinetics and viscoelastic relaxation, time–strain separability under large deformations, damping mechanisms tied to strand pullout, and emergent spatial heterogeneity near the percolation threshold. This review summarizes these findings and explores their implications for the rational design of transient networks with programmable mechanical properties, while offering perspectives on future integrations with theory and simulation.
瞬态聚合物网络由聚合物链通过可逆键连接而成,表现出随时间变化的粘弹性,架起了固体弹性和液体流动的桥梁。这些材料由于其自我修复、韧性和可回收性的潜力而引起越来越多的关注。经典模型,如Green-Tobolsky和Tanaka-Edwards理论,主要通过键解离动力学来描述应力松弛,假设均匀平衡结构和小变形。然而,现实世界的应用通常涉及大的动态应变,其中非线性粘弹性、有限可扩展性和空间流动非均质性占主导地位。传统的体系经常受到结构和动力学异质性的影响,这使得将分子动力学与整体力学行为联系起来的工作变得复杂。为了解决这些挑战,最近的研究开发了一种模型瞬态网络-四聚乙二醇黏液-由四功能聚乙二醇(PEG)前体通过苯基硼酸和二醇基团之间的动态共价键连接而成。该系统可以精确控制网络连接、键寿命和链结构,同时最大限度地减少不必要的异构性。利用该模型,研究人员应用了多模态方法,结合表面等离子体共振(SPR)、宏观流变学、二维流变光学和粒子跟踪微流变学来研究线性和非线性体系中的弛豫行为。这些努力揭示了分子动力学与粘弹性松弛、大变形下的时间-应变可分离性、与链拉出相关的阻尼机制以及在渗透阈值附近出现的空间异质性之间的明确相关性。本文总结了这些发现,并探讨了它们对具有可编程力学性能的暂态网络的合理设计的影响,同时为未来的理论和仿真集成提供了展望。
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引用次数: 0
Recent advances in ring-opening metathesis polymerizations 开环复分解聚合的新进展
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-10-17 DOI: 10.1016/j.progpolymsci.2025.102039
Samuel W. Kaplan, Aleksandr V. Zhukhovitskiy
Ring-opening metathesis polymerization (ROMP) is a chemical mechanism with far-reaching significance for polymer synthesis. For instance, ROMP of olefins has been widely implemented in both industry and academia for the synthesis of a range of polymeric materials with control over molecular weight, dispersity, and architecture. This review covers key developments in ROMP in the last 20 years. Specifically, advances in the control over polymer microstructure, catalytic ROMP, frontal ring-opening metathesis polymerization, the metathesis polymerizations of functional groups other than olefins, aqueous ROMP and recent advancements in iron-catalyzed, vanadium-catalyzed, and metal-free ROMP are discussed.
开环复分解聚合(ROMP)是一种对聚合物合成具有深远意义的化学机理。例如,烯烃的ROMP已广泛应用于工业和学术界,用于合成一系列具有分子量、分散性和结构控制的聚合物材料。本综述涵盖了过去20年来ROMP的主要发展。具体来说,本文讨论了聚合物微观结构控制、催化ROMP、正面开环复分解聚合、烯烃以外官能团的复分解聚合、水相ROMP以及铁催化、钒催化和无金属ROMP的最新进展。
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引用次数: 0
Sustainable polymers for battery applications 电池应用的可持续聚合物
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-12-01 Epub Date: 2025-10-17 DOI: 10.1016/j.progpolymsci.2025.102038
Zhuoyu Yin , Yoonseob Kim
Synthetic polymers, known for their durability, low cost, and functionality, have become indispensable in our lives, yet they also raise significant environmental concerns. Concurrently, energy storage devices, particularly rechargeable batteries, are essential for everyday convenience and are witnessing exponential demand across various applications, from smartphones to personal computers and electric vehicles. As key technologies in achieving “Carbon Peak and Carbon Neutrality”, the sustainability of batteries establishes a critical goal for advancements in polymer development. Sustainable polymers derived from natural feedstocks or green processes, such as recycling and upcycling, have emerged as promising candidates for sustainable battery manufacturing. This includes applications in solid-state polymer electrolytes, binders, separators, and organic electrode materials. On one hand, sustainable polymers can significantly reduce our reliance on petroleum-based raw materials and eliminate the toxic solvents often used in battery production, thereby alleviating environmental concerns. On the other hand, the development of solid-state polymer electrolytes can lead to batteries with a more compact structure and improved energy density. However, the integration of sustainable polymers into battery technology is still in its early stages, and several challenges need to be addressed to effectively replace petroleum-based polymers. This review summarizes the cycling approaches to sustainable polymers and highlights pioneering research in battery applications over the past decade. We conclude by discussing the potential challenges and promising directions for the future development of batteries utilizing sustainable polymers.
合成聚合物以其耐用性、低成本和功能性而闻名,已成为我们生活中不可或缺的一部分,但它们也引起了严重的环境问题。与此同时,能量存储设备,尤其是可充电电池,对日常生活的便利至关重要,从智能手机到个人电脑和电动汽车,各种应用的需求都呈指数级增长。作为实现“碳峰值和碳中和”的关键技术,电池的可持续性是聚合物发展的关键目标。从天然原料或绿色工艺(如回收和升级回收)中提取的可持续聚合物已成为可持续电池制造的有希望的候选者。这包括固态聚合物电解质,粘合剂,分离器和有机电极材料的应用。一方面,可持续聚合物可以显著减少我们对石油基原材料的依赖,并消除电池生产中经常使用的有毒溶剂,从而减轻环境问题。另一方面,固态聚合物电解质的发展可以使电池具有更紧凑的结构和更高的能量密度。然而,将可持续聚合物整合到电池技术中仍处于早期阶段,要想有效地取代石油基聚合物,还需要解决一些挑战。本文综述了可持续聚合物的循环方法,并重点介绍了过去十年中电池应用方面的开创性研究。最后,我们讨论了利用可持续聚合物的电池未来发展的潜在挑战和有希望的方向。
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引用次数: 0
Towards the next development of vitrimers: Recent key topics for the practical application and understanding of the fundamental physics 玻璃体的下一个发展:基础物理的实际应用和理解的最新关键主题
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-11-01 Epub Date: 2025-09-18 DOI: 10.1016/j.progpolymsci.2025.102026
Mikihiro Hayashi , Ralm G. Ricarte
Vitrimers have emerged as an innovative class of functional cross-linked polymers, providing recyclability, healability, and post-cured malleability without distinct flow. These features are attributed to the relaxation and diffusion of network strands through associative bond exchanges within the network. Significant progress has been made in investigating the chemical library and new functionalities, along with comprehensive studies on fundamental physics, including relaxation and rheological characteristics. Despite a rapid increase in research publications over the past decade, critical challenges remain in practical applications, particularly regarding preparation protocols, control of physical properties, and the development of analytical techniques. Unlike existing reviews focusing on vitrimer design and basic features, this article highlights recent crucial topics, such as vitrimer transformation from commodity polymers, the trade-off between processability and mechanical performance, and the control/analysis of stress relaxation time and topology freezing temperature, and an understanding of rheological properties, based on experimental, simulation, and theoretical studies. The transformation using commodity polymers could introduce a novel upcycling technique. The trade-off issues propose unique vitrimer designs utilizing phase-separated structures and post-molding curing. Moreover, given the strong correlation between relaxation/rheological properties and processability/recyclability/healability, their control and analysis are vital for both foundational physics and practical applications. Throughout the article, we provide insights and pose new open questions for the next development of vitrimer materials.
Vitrimers作为一种创新的功能性交联聚合物,具有可回收性、可治愈性和后固化延展性,没有明显的流动。这些特征归因于通过网络内结合键交换的网络链的松弛和扩散。在化学文库和新功能的研究方面取得了重大进展,同时在基础物理方面进行了全面的研究,包括弛豫和流变特性。尽管在过去十年中,研究出版物迅速增加,但在实际应用中仍然存在重大挑战,特别是在制备方案,物理性质控制和分析技术的发展方面。不像现有的综述集中在玻璃聚合物的设计和基本特征,这篇文章强调了最近的关键话题,如玻璃聚合物从商品聚合物转化,可加工性和机械性能之间的权衡,应力松弛时间和拓扑冻结温度的控制/分析,以及基于实验,模拟和理论研究的流变特性的理解。使用商品聚合物的改造可以引入一种新的升级回收技术。权衡问题提出了独特的玻璃体设计利用相分离结构和成型后固化。此外,考虑到弛豫/流变特性与可加工性/可回收性/可修复性之间的强相关性,它们的控制和分析对于基础物理和实际应用都至关重要。在整个文章中,我们提供了见解,并提出了新的开放性问题,为下一步发展的玻璃体材料。
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引用次数: 0
Recent progress and trends in developing polymer ferroelectrics 聚合物铁电材料的研究进展及趋势
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-11-01 Epub Date: 2025-09-23 DOI: 10.1016/j.progpolymsci.2025.102028
Fan Ye , Satoshi Aya , Mingjun Huang
In polymer ferroelectrics, spontaneous polarization is linked to the symmetry breaking of permanent dipolar elements, which usually arises from strong dipolar interactions or introduced chirality. Recently, there have been rapid and significant advances in understanding how molecular design and dipolar interactions dictate ferroelectric order in the soft matter field. These insights could greatly enhance our comprehension of polymer ferroelectrics and prompt a reevaluation of their design principles. In this review, we explore the origins of ferroelectricity in polymers, highlighting the critical role of dipolar interactions. We present a comprehensive collection and categorization of all polymer ferroelectrics, including both fluorinated and non-fluorinated systems. Additionally, we discuss domain size, domain wall, and topological engineering of polymer ferroelectrics, followed by an examination of representative and emerging applications. Finally, we offer perspectives on the future development of polymer ferroelectrics, focusing on novel non-fluorinated polymer systems, the flexible tuning of physical properties and performance, and the precise control of topology and polarization distribution.
在聚合物铁电体中,自发极化与永久偶极元素的对称性破缺有关,这通常是由强偶极相互作用或引入手性引起的。最近,在理解分子设计和偶极相互作用如何决定软物质场中的铁电秩序方面取得了迅速而重大的进展。这些见解可以大大提高我们对聚合物铁电体的理解,并促使对其设计原则的重新评估。在这篇综述中,我们探讨了铁电在聚合物中的起源,强调了偶极相互作用的关键作用。我们提出了一个全面的收集和分类的所有聚合物铁电体,包括氟化和非氟化系统。此外,我们讨论了畴的尺寸,畴壁和聚合物铁电体的拓扑工程,随后检查了代表性和新兴的应用。最后,我们对聚合物铁电体的未来发展进行了展望,重点关注新型无氟聚合物体系,物理性质和性能的柔性调谐以及拓扑和极化分布的精确控制。
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引用次数: 0
Hierarchically structured materials derived from synthetic polymers: design and bulk self-assembly strategies 合成聚合物衍生的分层结构材料:设计和批量自组装策略
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-11-01 Epub Date: 2025-09-18 DOI: 10.1016/j.progpolymsci.2025.102027
Xiaowei Fu , Jae-Man Park , Ruiqi Liang , Yazhen Xue , Mingjiang Zhong
Hierarchical structures are ubiquitous in biological systems—proteins, for instance, achieve complex and precise assemblies through the hierarchical organization of amino acid sequences, enabling diverse and sophisticated functions. Inspired by nature, hierarchically structured synthetic polymers have emerged as a new class of materials capable of forming ordered morphologies with multiple periodicities, surpassing the conventional phase behavior of linear diblock copolymers. This review critically summarizes recent progress in the design and formation of hierarchical structures in synthetic polymers. We categorize current strategies into five major approaches: (1) multiblock copolymers, (2) supramolecular assemblies, (3) liquid crystalline copolymers, (4) polypeptide-based copolymers, and (5) graft/bottlebrush block copolymers. Particular attention is given to approaches that employ diverse macromolecular architectures, including linear, star, and bottlebrush polymers, to access complex morphologies. In addition, we highlight recent advances in polymer-grafted nanocrystals, which give rise to hierarchical superlattices by integrating atomic-level ordering from the nanocrystals with nanoscale periodicity from the polymer corona. We conclude by discussing emerging synthetic directions and potential applications of these hierarchically structured polymeric materials.
等级结构在生物系统中无处不在——例如,蛋白质通过氨基酸序列的等级组织实现复杂而精确的组装,从而实现多样化和复杂的功能。受大自然的启发,分层结构的合成聚合物已经成为一类新的材料,能够形成具有多个周期性的有序形态,超越了线性二嵌段共聚物的传统相行为。本文综述了合成聚合物中分层结构的设计和形成的最新进展。我们将目前的策略分为五种主要方法:(1)多嵌段共聚物,(2)超分子组装,(3)液晶共聚物,(4)多肽基共聚物,(5)接枝/瓶刷嵌段共聚物。特别关注的方法是采用不同的大分子结构,包括线性,星形和瓶刷聚合物,以获得复杂的形态。此外,我们强调了聚合物接枝纳米晶体的最新进展,通过将纳米晶体的原子级有序与聚合物电晕的纳米级周期性相结合,产生了分层超晶格。最后讨论了这些分层结构高分子材料的合成方向和潜在应用。
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引用次数: 0
Adding machine learning to the polymer reaction engineering toolbox 将机器学习添加到聚合物反应工程工具箱
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-11-01 Epub Date: 2025-09-25 DOI: 10.1016/j.progpolymsci.2025.102029
Kiarash Farajzadehahary , Shaghayegh Hamzehlou , Nicholas Ballard
Mathematical modeling has long played a crucial role in the development of macromolecular systems, offering a framework for designing polymeric materials to achieve specific targets. Traditionally, these models have been grounded in first-principles knowledge of the underlying physical and chemical processes. However, in recent years, data-driven approaches, particularly those based on machine learning (ML), have gained significant traction. Unlike conventional models, which are constrained by predefined assumptions, ML models offer greater flexibility, which can have both positive and negative consequences. On the positive side, the flexibility of machine learning models makes them particularly useful for analyzing complex systems, such as those common to polymeric materials, which are often challenging to fully capture with traditional approaches. However, a well-known drawback is that their lack of physical grounding can sometimes result in unrealistic predictions. In this review, recent advances in the use of machine learning in the field of polymer reaction engineering are discussed, with a particular focus on how to incorporate the strengths of both first-principles and data-driven mathematical models. The review begins with an overview of the key machine learning techniques currently available and then explores specific scenarios where their application has proven beneficial in modelling of polymeric systems. Following an in-depth discussion of the state-of-the-art with respect to polymer reaction engineering applications, the article concludes with a perspective on the future of this nascent field, outlining key challenges and opportunities for further research.
数学建模长期以来在大分子体系的发展中起着至关重要的作用,为设计聚合物材料以实现特定目标提供了一个框架。传统上,这些模型是建立在基本物理和化学过程的第一性原理知识基础上的。然而,近年来,数据驱动的方法,特别是那些基于机器学习(ML)的方法,已经获得了巨大的吸引力。与受预定义假设约束的传统模型不同,ML模型提供了更大的灵活性,这既可以产生积极的结果,也可以产生消极的结果。从积极的方面来看,机器学习模型的灵活性使得它们对于分析复杂系统特别有用,例如聚合物材料中常见的系统,这些系统通常很难用传统方法完全捕获。然而,一个众所周知的缺点是,他们缺乏身体基础,有时会导致不切实际的预测。在这篇综述中,讨论了在聚合物反应工程领域使用机器学习的最新进展,特别关注如何将第一原理和数据驱动的数学模型的优势结合起来。本文首先概述了当前可用的关键机器学习技术,然后探讨了它们在聚合物系统建模中被证明有益的具体应用场景。在深入讨论了聚合物反应工程应用的最新技术之后,文章最后对这一新兴领域的未来进行了展望,概述了进一步研究的关键挑战和机遇。
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引用次数: 0
Precision polymers: advances in synthesis, structural engineering, and functional optimization 精密聚合物:合成、结构工程和功能优化方面的进展
IF 26.1 1区 化学 Q1 POLYMER SCIENCE Pub Date : 2025-11-01 Epub Date: 2025-09-26 DOI: 10.1016/j.progpolymsci.2025.102030
Zhanhui Gan , Jinming Liu , Zhuoqi Xu , Shuai Jia , Xue-Hui Dong
Most synthetic polymers are mixtures of homologous chains that vary in chain length, sequence, and architecture. This inherent heterogeneity blurs fundamental structure-property correlations and compromises experimental resolution, reliability, and reproducibility. Although modern polymerization techniques have achieved remarkable control over molecular parameters, absolute structural uniformity across multi-length scales remains unattainable. Recent progress in iterative synthesis and high-resolution chromatography has facilitated the creation of precision polymers—chains of uniform length, exact sequence, and programmable architecture. This review summarizes recent advances that confer such structural fidelity, focusing on iterative synthetic strategies and chromatographic separations. We further illustrate how these precisely defined molecular parameters translate into quantitatively predictable thermodynamic and kinetic behaviors, exemplified by crystallization and self-assembly in bulk and solution. Emerging applications in electronic information, biomedical engineering, and organic optoelectronics are also outlined. We conclude by assessing the remaining challenges and opportunities presented by the advent of AI-guided design and automation.
大多数合成聚合物是同源链的混合物,其链长、序列和结构各不相同。这种固有的异质性模糊了基本的结构-性质相关性,并损害了实验的分辨率、可靠性和可重复性。尽管现代聚合技术已经实现了对分子参数的显著控制,但在多长度尺度上的绝对结构均匀性仍然是不可能实现的。迭代合成和高分辨率色谱的最新进展促进了精确聚合物链的创建,这些聚合物链具有均匀的长度、精确的序列和可编程的结构。本文综述了赋予这种结构保真度的最新进展,重点是迭代合成策略和色谱分离。我们进一步说明了这些精确定义的分子参数如何转化为定量可预测的热力学和动力学行为,例如在体和溶液中的结晶和自组装。本文还概述了电子信息、生物医学工程和有机光电子学等领域的新兴应用。最后,我们评估了人工智能引导的设计和自动化出现所带来的挑战和机遇。
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引用次数: 0
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Progress in Polymer Science
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