Topological defect coarsening in quenched smectic- C films analyzed using artificial neural networks

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

“…Nevertheless, machine learning models have consistently demonstrated their potential in the realm of soft matter research, providing precise and automated solutions for diverse tasks, from dynamic predictions 28 to defect analyses. 56,57 Our algorithm can be further improved by training on other types of microscopy images.…”