Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and cur

Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies

Atomic-scale representation and statistical learning of tensorial properties -- Prediction of Mohs hardness with machine learning methods using compositional fe

Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those

The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing an