聚合物反应性预测中的十个问题

IF 5.2 1区 化学 Q1 POLYMER SCIENCE Macromolecules Pub Date : 2025-02-17 DOI:10.1021/acs.macromol.4c02582
Nicholas E. Jackson, Brett M. Savoie
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引用次数: 0

摘要

短语“聚合物理论”通常与结构、热力学或机械性能的经典预测相关联,其中化学结构被非特异性地处理。这是因为从历史上看,模拟化学特定的聚合物现象或预测它们的性质需要非常昂贵的计算方法。然而,最近的方法发展使得以前无法实现的聚合物反应性预测现在可以通过数据驱动和基于物理的计算方法相结合来解决。这一观点强调了十个这样的问题,展示了相关的先前成功案例,并推测了在不久的将来聚合物反应性预测的可行解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Ten Problems in Polymer Reactivity Prediction
The phrase “polymer theory” is typically associated with classical predictions of structural, thermodynamic, or mechanical properties in which chemical structure is treated nonspecifically. This is because historically, modeling chemically specific polymer phenomena or predicting their properties required prohibitively costly computational methods. However, recent methodological developments have made previously inaccessible polymer reactivity predictions now potentially addressable with a combination of data-driven and physics-based computational approaches. This perspective highlights ten such problems, showcases related previous successes, and speculates on what the near future holds as working solutions to polymer reactivity prediction become available.
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
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.
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