二维活性聚合物行为:切向模型和推拉模型的对比分析。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Giulia Janzen, Juan Pablo Miranda, J Martín-Roca, Paolo Malgaretti, Emanuele Locatelli, Chantal Valeriani, D A Matoz Fernandez
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引用次数: 0

摘要

在这项工作中,我们使用切向和推拉模型,包括一个具有被动端单体的变体,在两个维度上比较活性细丝的结构和动态行为,以桥接这两个框架。这些模型为理解生物聚合物和合成材料中的自组织提供了有价值的框架。在低活度时,所有模型都表现出相似的行为;随着活动的增加,中间状态出现了细微的差异,但在高活动时,它们的行为趋于一致。调整平均主动力的差异揭示了几乎相同的行为跨越模型,甚至跨越不同的灯丝配置和弯曲刚度。我们的研究结果强调了力定义在活性聚合物模拟中的重要性,并提供了对不同灯丝配置的相变的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active polymer behavior in two dimensions: A comparative analysis of tangential and push-pull models.

In this work, we compare the structural and dynamic behavior of active filaments in two dimensions using tangential and push-pull models, including a variant with passive end monomers, to bridge the two frameworks. These models serve as valuable frameworks for understanding self-organization in biological polymers and synthetic materials. At low activity, all models exhibit similar behavior; as activity increases, subtle differences emerge in intermediate regimes, but at high activity, their behaviors converge. Adjusting for differences in mean active force reveals nearly identical behavior across models, even across varying filament configurations and bending rigidities. Our results highlight the importance of force definitions in active polymer simulations and provide insights into phase transitions across varying filament configurations.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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