On the Technologies of Artificial Intelligence and Machine Learning for 2D Materials

Nowadays, an important area of research in the field of two-dimensional (2D) materials and their surface characteristics is acceleration of the process of searching for synthesis parameters for new structures with unique properties. The achieved level of development of artificial intelligence and especially machine learning makes it possible to use these techniques to solve a wide range of problems, including in the field of 2D-materials science. This article describes the current state of technologies of artificial intelligence and its subset, machine learning. The presented literature review describes the capabilities of machine-learning technologies for solving problems in the field of 2D-nanomaterials both at the stages of computer design and chemical synthesis and diagnostics of the obtained 2D-nanostructures and their surfaces. Much attention is given to the application of machine-learning technologies to find new 2D materials with specified characteristics that can be successfully used in a number of promising areas of application.