Statistics and topology of fluctuating ribbons

Author:

Yong Ee Hou1ORCID,Dary Farisan1ORCID,Giomi Luca2ORCID,Mahadevan L.345ORCID

Affiliation:

1. Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371

2. Instituut-Lorentz, Universiteit Leiden, 2300 RA Leiden, The Netherlands

3. School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138

4. Department of Physics, Harvard University, Cambridge, MA 02138

5. Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138

Abstract

Ribbons are a class of slender structures whose length, width, and thickness are widely separated from each other. This scale separation gives a ribbon unusual mechanical properties in athermal macroscopic settings, for example, it can bend without twisting, but cannot twist without bending. Given the ubiquity of ribbon-like biopolymers in biology and chemistry, here we study the statistical mechanics of microscopic inextensible, fluctuating ribbons loaded by forces and torques. We show that these ribbons exhibit a range of topologically and geometrically complex morphologies exemplified by three phases—a twist-dominated helical phase (HT), a writhe-dominated helical phase (HW), and an entangled phase—that arise as the applied torque and force are varied. Furthermore, the transition from HW to HT phases is characterized by the spontaneous breaking of parity symmetry and the disappearance of perversions (that correspond to chirality-reversing localized defects). This leads to a universal response curve of a topological quantity, the link, as a function of the applied torque that is similar to magnetization curves in second-order phase transitions.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reply to van der Heijden and Starostin: On the persistent helicity of fluctuating ribbons;Proceedings of the National Academy of Sciences;2024-07

2. Biased statistical ensembles for developable ribbons;Proceedings of the National Academy of Sciences;2023-10-04

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