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DOE OSTI · 2287709

A machine learning approach to robustly determine director fields and analyze defects in active nematics

Li, Yunrui·Zarei, Zahra·Tran, Phu N.·Wang, Yifei·Baskaran, Aparna·Fraden, Seth·Hagan, Michael F.·Hong, Pengyu
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Abstract

A machine learning model for reliable director fields calculation from raw experimental images of active nematics. The model is accurate, robust to noise and generalizable, enhancing analysis such as the detection and tracking of topological defects.

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97 MATHEMATICS AND COMPUTING

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Li, Yunrui, Zarei, Zahra, Tran, Phu N., Wang, Yifei, Baskaran, Aparna, Fraden, Seth, Hagan, Michael F., Hong, Pengyu. 2024-02-21. A machine learning approach to robustly determine director fields and analyze defects in active nematics. https://doi.org/10.1039/d3sm01253k

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