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Polymer physics across scales: Modeling the multiscale behavior of functional soft materials and biological systems
Author(s) -
Andrew J. Spakowitz
Publication year - 2019
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.5126852
Subject(s) - soft materials , multiscale modeling , scale (ratio) , nanotechnology , statistical physics , bridge (graph theory) , polymer physics , computer science , polymer , materials science , physics , chemistry , computational chemistry , quantum mechanics , composite material , medicine
Polymeric materials are ubiquitous in our daily lives, and they play a significant role in many technological applications. The general predictive framework for the behavior of soft polymeric materials can be divided into two vastly different approaches. Highly coarse-grained models capture polymers as flexible random walks, resulting in general predictions of physical behavior but lack chemical specificity. Detailed atomistic models contain molecular detail but are frequently computationally intractable for exhaustive materials discovery. In this perspective, we discuss theoretical models that successfully bridge these disparate approaches. We identify intermediate-scale physical models that are amenable to theoretical analyses while containing sufficient granular detail to capture a range of molecular-level processes. We then provide several problems in materials engineering and biological physics where multiscale physics is essential in their behavior.

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