extreme gradient boosting

Wide Bandgap Semiconductor Device Design via Machine Learning

Rongyu Lin, Ph.D., Electrical and Computer Engineering

Nov 2, 15:30 - 17:30

B2 L5 R5220

machine learning light gradient boosting machine extreme gradient boosting

This dissertation presents novel approaches to the design of electrical and optical wide bandgap semiconductor devices, which opens new avenues for future research. It is possible that it might be used in a broad variety of sectors, including illumination, sensing, disinfection, and power devices by using TCAD and machine learning to deliver quick forecasts of the III-nitride semiconductor device.