Prediction of optical constants and bandgap energy of 3D nanonetwork silicon

In a new publication from Opto-Electronic Advances, Shreeniket Joshi and Amirkianoosh Kiani from Ontario Tech University, Ontario, Canada, discuss hybrid artificial neural networks and analytical model for prediction of optical constants and bandgap energy of 3D nanonetwork silicon structures.