Defects in active nematics: algorithms for identification and tracking
| Autor: | Axel Voigt, Sebastian Reuther, Michael Nestler, Maximilian Simon, Dennis Wenzel |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Numerical Analysis Artificial neural network Computer science Applied Mathematics FOS: Physical sciences Physics based Condensed Matter - Soft Condensed Matter Tracking (particle physics) 01 natural sciences Field (computer science) Topological defect Data-driven 03 medical and health sciences Computational Mathematics Identification (information) 35K25 0103 physical sciences Soft Condensed Matter (cond-mat.soft) Relevance (information retrieval) 010306 general physics Algorithm 030304 developmental biology |
| Popis: | 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. 13 pages, 6 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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