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Description
A Single Event Transient (SET) is a transient voltage pulse induced by an ionizing radiation particle striking a combinational logic node in a circuit. The probability of a storage element capturing the transient pulse depends on the width of the pulse. Measuring the rate of occurrence and the distribution of

A Single Event Transient (SET) is a transient voltage pulse induced by an ionizing radiation particle striking a combinational logic node in a circuit. The probability of a storage element capturing the transient pulse depends on the width of the pulse. Measuring the rate of occurrence and the distribution of SET pulse widths is essential to understand the likelihood of soft errors and to develop cost-effective mitigation schemes. Existing research measures the pulse width of SETs in bulk Complementary Metal-Oxide-Semiconductor (CMOS) and Silicon On Insulator (SOI) technologies, but not on Fin Field-Effect Transistors (FinFETs). This thesis focuses on developing a test structure on the FinFET process to generate, propagate, and separate SETs and build a time-to-digital converter to measure the pulse width of SET.



The proposed SET test structure statistically separates SETs generated at NMOS and PMOS based on the difference in restoring current. It consists of N-collection devices to collect events at NMOS and P-collection devices to collect events at PMOS. The events that occur in PMOS of the N-collection device and NMOS of the P-collection device are false events. The logic gates of the collection devices are skewed to perform pulse expansion so that a minimally sustained SET propagates without getting suppressed by the contamination delay. A symmetric tree structure with an S-R latch event detector localizes the location of the SET. The Cartesian coordinates-based pulse injection structure injects external pulses at specific nodes to perform instrumentation and calibrate the measurement. A thermometer-encoded chain (vernier chain) with mismatched delay paths measures the width of the SET.

For low Linear Energy Transfer (LET) tests, the false events are entirely masked and do not propagate since the amount of charge that has to be deposited for successful event propagation is significantly high. In the case of high LET tests, the actual events and false events propagate, but they can be separated based on the SET location and the width of the output event. The vernier chain has a high measurement resolution of ~3.5ps, which aids in separating the events.
ContributorsShreedharan, Sanjay (Author) / Brunhaver, John (Thesis advisor) / Clark, Lawrence (Committee member) / Sanchez Esqueda, Ivan (Committee member) / Arizona State University (Publisher)
Created2020
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Description
Bipolar commercial-off-the-shelf (COTS) circuits are increasingly used in spacemissions due to the low cost per part. In space environments these devices are exposed to ionizing radiation that degrades their performance. Testing to evaluate the performance of these devices is a costly and lengthy process. As such methods that can help predict a COTS

Bipolar commercial-off-the-shelf (COTS) circuits are increasingly used in spacemissions due to the low cost per part. In space environments these devices are exposed to ionizing radiation that degrades their performance. Testing to evaluate the performance of these devices is a costly and lengthy process. As such methods that can help predict a COTS part’s performance help alleviate these downsides. A modeling software for predicting total ionizing dose (TID), enhanced low dose rate sensitivity (ELDRS), and hydrogen gas on bipolar parts is introduced and expanded upon. The model is then developed in several key ways that expand it’s features and usability in this field. A physics based methodology of simulating interface traps (NIT) to expand the previously experimental only database is detailed. This new methodology is also compared to experimental data and used to establish a link between hydrogen concentration in the oxide and packaged hydrogen gas. Links are established between Technology Computer Aided Design (TCAD), circuit simulation, and experimental data. These links are then used to establish a better foundation for the model. New methodologies are added to the modeling software so that it is possible to simulate transient based characteristics like slew rate.
ContributorsRoark, Samuel (Author) / Barnaby, Hugh (Thesis advisor) / Sanchez Esqueda, Ivan (Committee member) / Bakkaloglu, Bertan (Committee member) / Arizona State University (Publisher)
Created2022
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Description
This work is aimed at detecting and assessing the performance of colorimetricgold nanoparticle (AuNP) based biosensors, designed to inspect 17-beta-estradiol (E2), SARS-Cov-2 (RBD), and Ebola virus secreted glycoprotein (sGP) with samples at different concentration ranges. The biosensors are able to provide a colorimetric readout, that enables the detection signal to

This work is aimed at detecting and assessing the performance of colorimetricgold nanoparticle (AuNP) based biosensors, designed to inspect 17-beta-estradiol (E2), SARS-Cov-2 (RBD), and Ebola virus secreted glycoprotein (sGP) with samples at different concentration ranges. The biosensors are able to provide a colorimetric readout, that enables the detection signal to be transmitted via a simple glance, which renders these biosensors cheap and rapid therefore enabling for their implementation into point of care (POC) devices for diagnostic testing in harsh /rural environments, where there is a lack of machinery or trained staff to carry out the diagnosis experiments. Or their implementation into POC devices in medical areas for clinical diagnosis. The intent of this research is to detect the targets of interest such as E2 at a lower limit of detection (LOD), and such as RBD using a novel biosensor design. The verification of the colorimetric results is done via transmission spectra recordings and a compilation of the extinction, where an S-curve relative to the detection concentrations can be seen. This research displays, the fabrication of numerous biosensors and using them in detection experiments to hypothesize the performance of detection using target samples. Additionally, this color change is quantifiable by transmission spectrum recordings to compile the data and calculate the extinction S curve. With the least extinction values pertaining to the highest concentration of detection and the highest extinction values is at the lowest concentration of detection.
ContributorsAltarfa, Mohammad F M M (Author) / Wang, Chao (Thesis advisor) / Kozicki, Michael (Committee member) / Sanchez Esqueda, Ivan (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Machine learning advancements have led to increasingly complex algorithms, resulting in significant energy consumption due to heightened memory-transfer requirements and inefficient vector matrix multiplication (VMM). To address this issue, many have proposed ReRAM analog in-memory computing (AIMC) as a solution. AIMC enhances the time-energy efficiency of VMM operations beyond conventional

Machine learning advancements have led to increasingly complex algorithms, resulting in significant energy consumption due to heightened memory-transfer requirements and inefficient vector matrix multiplication (VMM). To address this issue, many have proposed ReRAM analog in-memory computing (AIMC) as a solution. AIMC enhances the time-energy efficiency of VMM operations beyond conventional VMM digital hardware, such as a tensor processing unit (TPU), while substantially reducing memory-transfer demands through in-memory computing. As AIMC gains prominence as a solution, it becomes crucial to optimize ReRAM and analog crossbar architecture characteristics. This thesis introduces an application-specific integrated circuit (ASIC) tailored forcharacterizing ReRAM within a crossbar array architecture and discusses the interfacing techniques employed. It discusses ReRAM forming and programming techniques and showcases chip’s ability to utilize the write-verify programming method to write image pixels on a conductance heat map. Additionally, this thesis assesses the ASIC’s capability to characterize different aspects of ReRAM, including drift and noise characteristics. The research employs the chip to extract ReRAM data and models it within a crossbar array simulator, enabling its application in the classification of the CIFAR-10 dataset.
ContributorsShort, Jesse (Author) / Marinella, Matthew (Thesis advisor) / Barnaby, Hugh (Committee member) / Sanchez Esqueda, Ivan (Committee member) / Arizona State University (Publisher)
Created2023