Machine learning methods for liquid crystal research: phases, textures, defects and physical properties
Anastasiia Piven(ITMO University), Tetiana Orlova(ITMO University), Ekaterina V. Skorb(ITMO University), Darina D. Darmoroz(ITMO University)
Cited by 18
Related Papers
Machine learning for soft and liquid molecular materials
|Digital Discovery|2023|17
Reactions of 5-(Trialkyl)silylpent-1-en-4-yn-3-ones with Hydrazines: Original Synthetic Routes to Luminescent Substances Containing Azole Motifs
|Synthesis|2023|7
Nanostructured Material Design via a Retrieval-Augmented Generation (RAG) Approach: Bridging Laboratory Practice and Scientific Literature
|Journal of Chemical Information and Modeling|2025|3
Light-Induced Heating of Microsized Nematic Volumes
|Crystals|2025|0