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.
Funding statement: Axel Voigt acknowledges financial support from DFG through FOR3013. The work was also supported by the Sino-German Science Center on the occasion of the Chinese–German Workshop on Computational and Applied Mathematics in Kiel 2019. We further acknowledge computing resources provided by JSC under grant HDR06 and ZIH/TU Dresden.
References
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