Mechanical properties of boron nitride sheets using ML potential

Abstract

This study explores the introduction of nanostructures, and the areas where they are playing an important role. We investigated the mechanical properties of boron nitride nanosheets while addressing challenges in analysis methods for predicting the accurate results of structural properties. approaches were discussed, emphasizing how they operate, their benefits, limitations, and the necessity for a more effective and efficient solution. Introducing the novel MLIP method with the use of machine learning technique, we thoroughly discussed the step–by–step creation process of MLIP using precise but limited data and the parameters that should be taken care for the construction of an effective potential. Furthermore, we addressed techniques for evaluating its performance and robustness in different environments.