Machine eye for defects: Machine learning-based solution to identify and characterize topological defects in textured images of nematic materials
Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method to directly recognize defects and extract their structural...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2024-03-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.6.013259 |