'The Alexa of chemistry': National Science Foundation puts VCU and partners on fast track to build open network

D. Tyler McQuade, Ph.D., a professor in the Virginia Commonwealth University College of Engineering, is principal investigator of a multi-university project seeking to use artificial intelligence to help scientists come up with the perfect molecule for everything from a better shampoo to coatings on advanced microchips. The project is one of the first in the U.S. to be selected for $994,433 in funding as part of a new pilot project of the National Science Foundation called the Convergence Accelerator (C-Accel). McQuade and his collaborators will pitch their prototype in March 2020 in a bid for additional funding of up to $5 million over five years. Adam Luxon, a Ph.D. student in the Department of Chemical and Life Science Engineering who has been involved from the beginning, explained it this way: "We want to essentially make the Alexa of chemistry." Just as Amazon, Google and Netflix use data algorithms to suggest customized predictions, the team plans to build an open network that can combine and help users make sense of molecular sciences data pulled from a range of sources including academia, industry and government.