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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ingo Dierking, Adam Moyle, Gabriele Maria Cepparulo, Katherine Skingle, Laura Hernández, Juhan Raidal
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-02-01
Schriftenreihe:Crystals
Schlagworte:
liquid crystal
nematic
defect annihilation
topological defect
umbilic
universal scaling law
Online-Zugang:https://www.mdpi.com/2073-4352/15/3/214
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