Defects in active nematics - algorithms for identification and tracking

DOI10.1515/cmam-2020-0021zbMath1487.76008arXiv2002.02748OpenAlexW3126205002MaRDI QIDQ2237845

Sebastian Reuther, Michael Nestler, Dennis Wenzel, Maximilian Simon, Axel Voigt

Publication date: 28 October 2021

Published in: Computational Methods in Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.02748

zbMATH Keywords

neural networktopological defecttensor fieldactive turbulelent liquid crystalmulti-phase field modelstatistical defect velocity theory

Mathematics Subject Classification ID

Stochastic analysis applied to problems in fluid mechanics (76M35) Liquid crystals (76A15) Turbulence (76F99) Three or more component flows (76T30)

Related Items (1)

Editorial: Sino-German computational and applied mathematics

Uses Software

• Fiji
• AMDiS

Cites Work

• Software concepts and numerical algorithms for a scalable adaptive parallel finite element method
• An adaptive finite element multi-mesh approach for interacting deformable objects in flow
• Margination of white blood cells: a computational approach by a hydrodynamic phase field model
• Well-Posedness of a Fully Coupled Navier--Stokes/Q-tensor System with Inhomogeneous Boundary Data
• A drop of active matter

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