Engineering

  In a review published in   Engineering , scientists explore the burgeoning field of machine learning (ML) and its applications in chemistry. Titled “Machine Learning for Chemistry: Basics and Applications,” this comprehensive review aims to bridge the gap between chemists and modern ML algorithms, providing insights into the potential of ML in revolutionizing chemical research. Over the past decade, ML and artificial intelligence (AI) have made remarkable strides, bringing us closer to the realization of intelligent machines. The advent of deep learning methods and enhanced data storage capabilities has played a pivotal role in this progress. ML has already demonstrated success in domains such as image and speech recognition, and now it is gaining significant attention in the field of chemistry, which is characterized by complex data and diverse organic molecules. However, chemists often face challenges in adopting ML applications due to a lack of familiarity with modern ML ...