Research Bits: July 6

Neural net predicts semiconductor properties Researchers from the Institute of Science Tokyo, Yokohama City University, and National Sun Yat-sen University devised a tandem neural network capable of quickly inferring key physical parameters of semiconductor materials from simple transistor measurements. The approach uses two machine learning models linked in series. The first model tries to estimate material properties from transistor measurements. Then, a pre-trained forward network that uses t