An article written by Dr. Qingsheng Wang, associate professor and director of the safety engineering program in the Artie McFerrin Department of Chemical Engineering at Texas A&M University, was selected as an American Chemical Society (ACS) Editors’ Choice. Graduate students Zeren Jiao, Pingfan Hu and Hongfei Xu from the Wang Group are co-authors of the paper. In the article, “Machine Learning and Deep Learning in Chemical Health and Safety: A Systematic Review of Techniques and Applications,” which originally appeared in the journal ACS Chemical Health & Safety, Wang and his team examined the current literature surrounding machine learning and deep learning in the context of safety engineering.
ACS Editors’ Choice is a service designed to feature scientific articles of broad public interest and to make this material widely accessible to both the scholarly community and general public. This is an honor given to only one article from the entire ACS portfolio each day of the year.