Machine learning for soft and liquid molecular materials
Tetiana Orlova, Anastasiia Piven, Darina D. Darmoroz, Timur A. Aliev, Tamer Mahmoud Tamer Abdel Razik, A. A. Boitsev, Natalia Grafeeva, Ekaterina V. Skorb
Abstract
This review discusses three types of soft matter and liquid molecular materials, namely hydrogels, liquid crystals and gas bubbles in liquids, which are explored with an emergent machine learning approach.
Topics & Concepts
Materials scienceComputer scienceNanotechnologyEnhanced Oil Recovery Techniques