In part 1, ANN and linear regression models were built with Tensorflow and Keras to predict the efficiency of crystalline Si solar cells when the thickness of front silicon nitride anti-reflection layer changes. As also discussed in part 1, the…
Month: June 2019
Silicon nitride density estimation with FTIR, Ellipsometry and BHF
Silicon nitride (SiNx) is a dielectric material that is widely used as passivation layers, electrical isolation layers, as well as etch and diffusion masks for semiconductor devices. The density of SiNx layer may influence its effectiveness in achieving these roles….
Predicting Solar Cell Efficiency with Machine Learning – Part 1
Machine learning (ML) has been the hot buzzwords for many applications, from speech recognition, search engines optimization to self-driving vehicles. After completing several online ML courses, particularly Andrew Ng’s Machine Learning and Deep Learning specializations, I wonder if I could…