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Imperfection-Aware Design Of Cnfet Digital Vlsi Circuits, Abbasali Arabi Mazraehshahi
Imperfection-Aware Design Of Cnfet Digital Vlsi Circuits, Abbasali Arabi Mazraehshahi
Electrical and Computer Engineering ETDs
Carbon nanotube field-effect transistor (CNFET) is one of the promising candidates as extensions to silicon CMOS devices. The CNFET, which is a 1-D structure with a near-ballistic transport capability, can potentially offer excellent device characteristics and order-of-magnitude better energy-delay product over standard CMOS devices. Significant challenges in CNT synthesis prevent CNFETs today from achieving such ideal benefits. CNT density variation and metallic CNTs are the dominant type of CNT variations/imperfections that cause performance variation, large static power consumption, and yield degradation. We present an imperfection-aware design technique for CNFET digital VLSI circuits by: 1) Analytical models that are developed to …
Multinode Acoustic Systems For High Throughput Cellular Analysis, Pearlson Prashanth Austin Suthanthiraraj
Multinode Acoustic Systems For High Throughput Cellular Analysis, Pearlson Prashanth Austin Suthanthiraraj
Chemical and Biological Engineering ETDs
For decades, flow cytometry is used as the gold standard for cellular analyses as it measures multiple properties of single cells. Traditional flow cytometry uses the hydrodynamic focusing technique where the sheath fluid focuses cells in the sample into a narrow stream. Although such precise focusing provides accurate optical measurements, high sheath fluid pressure and high linear velocities limit analysis rate to 50,000 particles/s. Such rates are too low for detecting rare events where one cell may have to be detected in a population of about a billion cells. Therefore, it is necessary to eliminate the sheath fluid and improve …
Parallel Independent Component Analysis With Reference For Imaging Genetics: A Semi-Blind Multivariate Approach, Jiayu Chen
Electrical and Computer Engineering ETDs
Imaging genetics is an emerging field dedicated to the study of genetic underpinnings of brain structure and function. Over the last decade, brain imaging techniques such as magnetic resonance imaging (MRI) have been increasingly applied to measure morphometry, task-based function and connectivity in living brains. Meanwhile, high-throughput genotyping employing genome-wide techniques has made it feasible to sample the entire genome of a substantial number of individuals. While there is growing interest in image-wide and genome-wide approaches which allow unbiased searches over a large range of variants, one of the most challenging problems is the correction for the huge number of …