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Georgia Institute of Technology

Predictive modeling of device and circuit reliability in highly scaled CMOS and SiGe BiCMOS technology

Abstract

dc:description.abstract

The advent of high-frequency silicon-based technologies has enabled the design of mixed-signal circuits that incorporate analog, RF, and digital circuit components to build cost-effective system-on-a-chip solutions. Emerging applications provide great incentive for continued scaling of transistor performance, requiring careful attention to mismatch, noise, and reliability concerns. If these mixed-signal technologies are to be employed within space-based electronic systems, they must also demonstrate reliability in radiation-rich environments. SiGe BiCMOS technology in particular is positioned as an excellent candidate to satisfy all of these requirements. The objective of this research is to develop predictive modeling tools that can be used to design new mixed-signal technologies and assess their reliability on Earth and in extreme environments. Ultimately, the goal is to illuminate the interaction of device- and circuit-level reliability mechanisms and establish best practices for modeling these effects in modern circuits. To support this objective, several specific areas have been targeted first, including a TCAD-based approach to identify performance-limiting regions in SiGe HBTs, measurement and modeling of carrier transport parameters that are essential for predictive TCAD, and measurement of device-level single-event transients to better understand the physical origins and implications for device design. These tasks provide the foundation for the bulk of this research, which addresses circuit-level reliability challenges through the application of novel mixed-mode TCAD techniques. All of the individual tasks are tied together by a guiding theme: to develop a holistic understanding of the challenges faced by emerging broadband technologies by coordinating results from material, device, and circuit studies.

Degree

thesis:*
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Moen, Kurt Andrew
Advisor dc:contributor.advisor
  • Cressler, John D.
Committee members dc:contributor.committeemember
  • Citrin, David
  • Fekri, Faramarz
  • Graham, Samuel
  • Shen, Shyh-Chiang

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1853/44700
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/44700

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Moen, Kurt Andrew. Predictive modeling of device and circuit reliability in highly scaled CMOS and SiGe BiCMOS technology. Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44700