System lets A.I. play Chemist to save months of work
A new system combines artificial neural networks with infrared thermal imaging to control and interpret chemical reactions with precision and speed that far outpace conventional methods. “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,” says Ryan Hartman, an assistant professor of chemical and biomolecular engineering at New York University Tandon School of Engineering and lead author of a paper on the method in the journal Computers & Chemical Engineering.
