Negative Capacitance Field-Effect Transistor Design and Machine Learning Applications in Compact Models

Ming-Yen Kao

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2022-34

May 1, 2022

This publication is archived. It is kept only for reference purposes, so it is no longer being updated and may not meet accessibility standards. If you need this content in a different format, please email webteam@eecs.berkeley.edu.

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/Archive/EECS-2022-34.pdf

Advisors: Chenming Hu

BibTeX citation:

@phdthesis{Kao:EECS-2022-34,
    Author= {Kao, Ming-Yen},
    Title= {Negative Capacitance Field-Effect Transistor Design and Machine Learning Applications in Compact Models},
    School= {EECS Department, University of California, Berkeley},
    Year= {2022},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-34.html},
    Number= {UCB/EECS-2022-34},
}

EndNote citation:

%0 Thesis
%A Kao, Ming-Yen 
%T Negative Capacitance Field-Effect Transistor Design and Machine Learning Applications in Compact Models
%I EECS Department, University of California, Berkeley
%D 2022
%8 May 1
%@ UCB/EECS-2022-34
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-34.html
%F Kao:EECS-2022-34