In recent years, AI application to chemistry has rapidly grown. While there has been numerous publicity about AI used in this manner, there hasn’t been a lot of in-depth analysis on its use and development in the chemistry field.
This peer-reviewed article published in the Journal of Chemical Information and Modeling studies the growth and distribution of AI-related chemistry publications within the CAS Content Collection. The volume of this research has dramatically increased since 2015. The article also examines interdisciplinary research trends, associations of AI in certain chemistry research topics, and an understanding of the future role of machine learning in the field. Read the full publication here.
