ML identifies LED material
Researchers at the University of Houston created a machine learning algorithm that can predict a material's properties to help find better host material candidates for LED lighting. One recommendation was synthesized and tested.
The technique, a support vector machine regression model, was efficient enough to run on a personal computer. It scanned a list of 118,28...
» read more