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...
Enregistré dans:
Auteurs principaux: | Haruka Sakanoue, Yuki Hayashi, Kenji Katayama |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/6bde48d734944dd1b42d1c42bdaba4b1 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Nearby contours abolish the binocular advantage
par: Maria Lev, et autres
Publié: (2021) -
The link between star formation and gas in nearby galaxies
par: Robert Feldmann
Publié: (2020) -
Smartphone-based multi-contrast microscope using color-multiplexed illumination
par: Daeseong Jung, et autres
Publié: (2017) -
Microscopic investigation of defects in thermally compressed poplar wood panels
par: Dogu,Dilek, et autres
Publié: (2016) -
Photon interactions with superconducting topological defects
par: Richard A. Battye, et autres
Publié: (2021)