Abstract
The aim of this project is to apply artificial intelligence (AI) tools to predict the vacancy formation energy in 2D materials. These materials are promising for various technological applications, such as flexible electronics and catalysis, and understanding their structural defect properties, like vacancies, is essential for the development of efficient devices. (AU)