Código QR (código de barras bidimensional)

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...

ver descrição completa

Na minha lista:
Principais autores: Ingo Dierking, Adam Moyle, Gabriele Maria Cepparulo, Katherine Skingle, Laura Hernández, Juhan Raidal
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-02-01
coleção:Crystals
Assuntos:
liquid crystal
nematic
defect annihilation
topological defect
umbilic
universal scaling law
Acesso em linha:https://www.mdpi.com/2073-4352/15/3/214
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados