This new technical paper titled “Machine-Learning-Based Compact Modeling for Sub-3-nm-Node Emerging Transistors” was published by researchers at SungKyunKwan University, Korea. “In this paper, we ...
Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...