Machine learning methods for liquid crystal research: phases, textures, defects and physical properties

Soft Matter, 2024, Accepted Manuscript DOI: 10.1039/D3SM01634J, Review ArticleAnastasiia Piven, Darina D Darmoroz, Ekaterina Skorb, Tetiana Orlova Liquid crystal materials, with their unique properties and diverse applications, have long captured the attention of researchers and industries alike. From liquid crystal displays and electro-optical devices to advanced sensors... The content of this RSS Feed (c) The Royal Society of Chemistry
Source: RSC - Soft Matter latest articles - Category: Chemistry Authors: Source Type: research