Abstract
Data detailed on Machine Learning have been presented. According to news reporting originating from St. Petersburg, Russia, by NewsRx correspondents, research stated, "Liquid crystal mate- rials, 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 and emerg- ing technologies, the study and application of liquid crystals continue to be of paramount importance in the fields of materials science, chemistry and physics." Funders for this research include Ministry of Science and Higher Education of the Russian Federation, Ministry of Science and Higher Education of the Russian Federation, ITMO Fellowship. Our news editors obtained a quote from the research from ITMO University, "With the ever-increasing complexity and diversity of liquid crystal materials, researchers face new challenges in understanding their behaviors, properties, and potential applications. On the other hand, machine learning, a rapidly evolving interdisciplinary field at the intersection of computer science and data analysis, has already become a powerful tool for unraveling implicit correlations and predicting new properties of a wide variety of physical and chemical systems and structures. Here we aim to consider how machine learning methods are suitable for solving fundamental problems in the field of liquid crystals and what are the advantages of this artificial intelligence based approach."
NETL
NSTL
Royal Soc Chemistry