Machine learning to speed chemical discoveries, reduce waste

Researchers have combined artificial neural networks with infrared thermal imaging to control and interpret chemical reactions with new precision and speed. Novel micro-reactors allow chemical discoveries to take place quickly and with far less environmental waste than standard large-scale reactions. "This system can reduce the decision-making process about certain chemical manufacturing processes from one year to a matter of weeks, saving tons of chemical waste and energy in the process," said Ryan Hartman, an assistant professor of chemical and biomolecular engineering at NYU Tandon and lead author of a paper detailing the method in the journal Computers & Chemical Engineering.