Helicoidal dynamics of biaxial curved rods in twist-bend nematic phases unveiled by unsupervised machine learning techniques

Publication date

2020-10-12

Authors

Chiappini, MassimilianoISNI 0000000506355213
Patti, Alessandro
Dijkstra, M.ISNI 0000000358257928

Editors

Advisors

Supervisors

Document Type

Article
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License

taverne

Abstract

Uniaxial rods in a nematic phase diffuse preferentially in the direction parallel to the nematic director n. The nematic director field n(r) of a chiral twist-bend nematic (NTB) phase of achiral banana-shaped particles, recently discovered experimentally, displays a heliconical twist of given handedness and periodicity. Using simulations, we investigate the long-time macroscopic diffusion in NTB phases, and find that the predilection of curved rods to diffuse in the direction of the twisting n(r) yields a fascinating chiral dynamics along helices, even though achiral curved rods display Brownian motion with a nontrivial rototranslational coupling. We devise a machine learning protocol to characterize the helicoidal particle trajectories, finding that their pitch and radius are determined by the pitch and conical angle of the NTB phase thereby connecting its structural and dynamical properties.

Keywords

Taverne, Statistical and Nonlinear Physics, Statistics and Probability, Condensed Matter Physics

Citation

Chiappini, M, Patti, A & Dijkstra, M 2020, 'Helicoidal dynamics of biaxial curved rods in twist-bend nematic phases unveiled by unsupervised machine learning techniques', Physical Review E, vol. 102, no. 4, 040601. https://doi.org/10.1103/PhysRevE.102.040601