Hybrid NN Model to Predict the Radiation Damage in GaN HEMTs
IBM IEEE CAS/EDS AI Compute Symposium
A neural-network model predicting radiation-induced damage in GaN HEMTs, presented at the IBM IEEE CAS/EDS AI Compute Symposium.
IBM IEEE CAS/EDS AI Compute Symposium
A neural-network model predicting radiation-induced damage in GaN HEMTs, presented at the IBM IEEE CAS/EDS AI Compute Symposium.
S. Raut, A. Mishra, K. Sehra, R. P. Singh, S. Wadhera, P. Kasturi, et al., "Hybrid NN Model to Predict the Radiation Damage in GaN HEMTs," in IBM IEEE CAS/EDS AI Compute Symposium, 2021.
@inproceedings{raut2021hybrid,
author = {Samriddhi Raut and Ashutosh Mishra and Khushwant Sehra and Raghvendra Pratap Singh and Shweta Wadhera and Poonam Kasturi and Geetika Jain Saxena and Manoj Saxena},
title = {{Hybrid NN Model to Predict the Radiation Damage in GaN HEMTs}},
booktitle = {IBM IEEE CAS/EDS AI Compute Symposium},
year = {2021}
}Related publications