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New technologies enable the exploration of space, high-fidelity defense systems, lighting fast intercontinental communication systems as well as medical technologies that extend and improve patient lives. The basis for these technologies is high reliability electronics devised to meet stringent design goals and to operate consistently for many years deployed in

New technologies enable the exploration of space, high-fidelity defense systems, lighting fast intercontinental communication systems as well as medical technologies that extend and improve patient lives. The basis for these technologies is high reliability electronics devised to meet stringent design goals and to operate consistently for many years deployed in the field. An on-going concern for engineers is the consequences of ionizing radiation exposure, specifically total dose effects. For many of the different applications, there is a likelihood of exposure to radiation, which can result in device degradation and potentially failure. While the total dose effects and the resulting degradation are a well-studied field and methodologies to help mitigate degradation have been developed, there is still a need for simulation techniques to help designers understand total dose effects within their design. To that end, the work presented here details simulation techniques to analyze as well as predict the total dose response of a circuit. In this dissertation the total dose effects are broken into two sub-categories, intra-device and inter-device effects in CMOS technology. Intra-device effects degrade the performance of both n-channel and p-channel transistors, while inter-device effects result in loss of device isolation. In this work, multiple case studies are presented for which total dose degradation is of concern. Through the simulation techniques, the individual device and circuit responses are modeled post-irradiation. The use of these simulation techniques by circuit designers allow predictive simulation of total dose effects, allowing focused design changes to be implemented to increase radiation tolerance of high reliability electronics.
ContributorsSchlenvogt, Garrett (Author) / Barnaby, Hugh (Thesis advisor) / Goodnick, Stephen (Committee member) / Vasileska, Dragica (Committee member) / Holbert, Keith E. (Committee member) / Arizona State University (Publisher)
Created2014
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Description
The RADiation sensitive Field Effect Transistor (RADFET) has been conventionally used to measure radiation dose levels. These dose sensors are calibrated in such a way that a shift in threshold voltage, due to a build-up of oxide-trapped charge, can be used to estimate the radiation dose. In order to estimate

The RADiation sensitive Field Effect Transistor (RADFET) has been conventionally used to measure radiation dose levels. These dose sensors are calibrated in such a way that a shift in threshold voltage, due to a build-up of oxide-trapped charge, can be used to estimate the radiation dose. In order to estimate the radiation dose level using RADFET, a wired readout circuit is necessary. Using the same principle of oxide-trapped charge build-up, but by monitoring the change in capacitance instead of threshold voltage, a wireless dose sensor can be developed. This RADiation sensitive CAPacitor (RADCAP) mounted on a resonant patch antenna can then become a wireless dose sensor. From the resonant frequency, the capacitance can be extracted which can be mapped back to estimate the radiation dose level. The capacitor acts as both radiation dose sensor and resonator element in the passive antenna loop. Since the MOS capacitor is used in passive state, characterizing various parameters that affect the radiation sensitivity is essential. Oxide processing technique, choice of insulator material, and thickness of the insulator, critically affect the dose response of the sensor. A thicker oxide improves the radiation sensitivity but reduces the dynamic range of dose levels for which the sensor can be used. The oxide processing scheme primarily determines the interface trap charge and oxide-trapped charge development; controlling this parameter is critical to building a better dose sensor.
ContributorsSrinivasan Gopalan, Madusudanan (Author) / Barnaby, Hugh (Thesis advisor) / Holbert, Keith E. (Committee member) / Yu, Hongyu (Committee member) / Arizona State University (Publisher)
Created2010
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Description
When exposed to radiation, many electronic components become damaged and operate incorrectly. Making sure these components are resistant to radiation effects is especially important for components used in space flight operations. At low dose rates, a phenomenon known as the enhanced low dose rate sensitivity (ELDRS) effect causes an increase

When exposed to radiation, many electronic components become damaged and operate incorrectly. Making sure these components are resistant to radiation effects is especially important for components used in space flight operations. At low dose rates, a phenomenon known as the enhanced low dose rate sensitivity (ELDRS) effect causes an increase in current within linear bipolar circuits. This increase in current is not desirable for space flight operations. Correctly selecting radiation hardened components or figuring out how to deal with the effects for space operation is important, however, radiation testing each component is very expensive and time consuming. To further the future of space travel, a more efficient way of testing is highly desired by the space industry. A low-cost and time-efficient solution is the IMPACT tool. The Multiscale Tool for Modeling Radiation Effects in Linear Bipolar Circuits project aims to improve the existing IMPACT tool for radiation simulation. This tool contains a database of commonly used linear bipolar circuits and allows the user to model the radiation effects. Currently the tool is not very easy to use and the circuit database is limited. The team’s goal and overall outcome of the project is to deliver the IMPACT tool with a user-friendly interface and an expanded circuit database. The team is using multiple tools to improve the overall appearance of the IMPACT tool and running simulations to collect any necessary data for the database expansion. In our thesis, Kerri and Kylie are using LTSpice simulations to expand the database. Cheyenne is using TCAD modeling to create TCAD models of transistors and compare them with her other group member’s simulations.
ContributorsCook, Cheyenne (Author) / Welch, Kerri (Co-author) / Welch, Kylie (Co-author) / Barnaby, Hugh (Thesis director) / Kozicki, Michael (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05