Defects in Active Nematics - Algorithms for Identification and Tracking

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Dennis Wenzel - , Technische Universität Dresden (Autor:in)
  • Michael Nestler - , Technische Universität Dresden (Autor:in)
  • Sebastian Reuther - , Technische Universität Dresden (Autor:in)
  • Maximilian Simon - , Technische Universität Dresden (Autor:in)
  • Axel Voigt - , Technische Universität Dresden, Zentrum für Systembiologie Dresden (CSBD) (Autor:in)

Abstract

The growing interest in active nematics and the emerging evidence of the relevance of topological defects in biology asks for reliable data analysis tools to identify, classify and track such defects in simulation and microscopy data. We here provide such tools and demonstrate on two examples, on an active turbulent state in an active nematodynamic model and on emerging nematic order in a multi-phase field model, the possibility to compare statistical data on defect velocities with experimental results. The considered tools, which are physics based and data driven, are compared with each other.

Details

OriginalspracheEnglisch
Seiten (von - bis)683-692
Seitenumfang10
FachzeitschriftComputational methods in applied mathematics
Jahrgang21
Ausgabenummer3
PublikationsstatusVeröffentlicht - 5 Feb. 2021
Peer-Review-StatusJa
Extern publiziertJa

Konferenz

Titel7th Sino-German Workshop on Computational and Applied Mathematics
Dauer19 - 23 August 2019
StadtKiel
LandDeutschland

Externe IDs

Scopus 85109216563

Schlagworte

Schlagwörter

  • Active Liquid Crystals, Tensor Fields, Topological Defects, Neural Networks, TOPOLOGICAL DEFECTS, CELL, MOTION

Bibliotheksschlagworte