Inference of molecular orientation/ordering change nearby topological defects by the neural network function from the microscopic color information

Abstract Topological defects in liquid crystals (LCs) dominate molecular alignment/motion in many cases. Here, the neural network (NN) function has been introduced to predict the LC orientation condition (orientation angle and order parameter) at local positions around topological defects from the p...

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Auteurs principaux: Haruka Sakanoue, Yuki Hayashi, Kenji Katayama
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/6bde48d734944dd1b42d1c42bdaba4b1
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