Machine Learning Analysis of Umbilic Defect Annihilation in Nematic Liquid Crystals in the Presence of Nanoparticles

Machine Learning Analysis of Umbilic Defect Annihilation in Nematic Liquid Crystals in the Presence of Nanoparticles

Machine learning-based image recognition is employed to investigate the annihilation dynamics of umbilic defects induced in systems of nematic liquid crystals doped with nanoparticles. A machine learning methodology based on a YOLO algorithm is trained and optimized to identify defects of strength s...

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Bibliographic Details
Main Authors: Ingo Dierking, Adam Moyle, Gabriele Maria Cepparulo, Katherine Skingle, Laura Hernández, Juhan Raidal
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Crystals
Subjects:
liquid crystal
nematic
defect annihilation
topological defect
umbilic
universal scaling law
Online Access:https://www.mdpi.com/2073-4352/15/3/214
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