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  4. Modeling and Layout-based Benchmarking of Emerging Post-CMOS Devices

Modeling and Layout-based Benchmarking of Emerging Post-CMOS Devices

File(s)
Afuye_cornellgrad_0058F_13261.pdf (4.77 MB)
Permanent Link(s)
https://doi.org/10.7298/5502-1c67
https://hdl.handle.net/1813/111909
Collections
Cornell Theses and Dissertations
Author
Afuye, Olalekan
Abstract

In recent years, several devices have been proposed to extend the scaling path of the semiconductor industry (i.e., Moore's law). These devices range from purely logic devices to non-volatile devices to hybrid logic and memory single device embodiments. For the non-volatile and hybrid devices, the storage elements include the charge storage, magnetization states, and phase states. It is imperative to create an end-to-end characterization framework capable of evaluating, characterizing, and benchmarking the performance of the proposed devices. This work introduces a device to architecture characterization framework for emerging post-CMOS devices. We develop compact circuit models for several devices and integrate the circuit models into our newly created layout-based characterization framework. We analyze and compare the performance of select devices in RAM and CAM memory arrays using the created framework. The characterization results show that our layout-based characterization approach provides unique insights that would otherwise not be captured by existing analytical and schematic-only based characterization tools.

Description
195 pages
Date Issued
2022-08
Keywords
CAM
•
Compact Models
•
MRAM
•
Post-CMOS
•
SOTFET
•
SRAM
Committee Chair
Apsel, Alyssa B.
Committee Member
Studer, Christoph
Molnar, Alyosha Christopher
Degree Discipline
Electrical and Computer Engineering
Degree Name
Ph. D., Electrical and Computer Engineering
Degree Level
Doctor of Philosophy
Rights
Attribution 4.0 International
Rights URI
https://creativecommons.org/licenses/by/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/15578727

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