The University of South Carolina received a $375,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant is part of the NSF Engineering program (CFDA 47.041) to support the "DEEP LEARNING ACCELERATED INVERSE DESIGN OF LAB-SCALE ENERGY EFFICIENT HETEROJUNCTIONS FOR WIDE-BANDGAP DEVICES" project. The three-year project beginning August 1, 2021 aims to utilize deep learning techniques to accelerate the inverse design of lab-scale, energy efficient heterojunctions for wide-bandgap semiconductor devices. The NSF Engineering program seeks to improve quality of life and economic strength through fostering innovation in engineering research and education.
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