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<p>Accurate characterization of a noisy device starts with an accurate measurement system. Measurement uncertainty and error continues to be a challenging subject as technology advances. The conventional method to noise characterization of on-wafer devices is to determine its noise parameters. To extract the noise parameters of an unpackaged device involves a sophisticated measurement system and calibration procedure. This thesis presents a new automated on-wafer noise measurement system based on Labview 8.5.1 which is used to examine measurement uncertainty for noise parameter extraction. The software program can be used and customized for a wide range of on-wafer noise measurements. This thesis covers the design and operation of the measurement system, which is then used to analyze measurement uncertainty.</p> <p>Measurement uncertainty can be due to various sources from environmental surroundings to instrument settings and the components of the system itself. In many scenarios, inaccuracies are random and cannot be completely resolved. In this thesis, a new tuner characterization technique that improves source tuner characterization is presented. Additionally, a new gain compensation technique is applied to measured noise powers that attempt to improve noise parameter extraction accuracy is proposed. The tuner characterization technique is evaluated against a current industry solution and the affects of the gain compensation technique is evaluated using a newly developed figure of merit. This research work concludes that a direct noise power correction is valid and necessary to further improve noise parameter accuracy. However, the proposed technique when applied resulted in minimal change to the overall noise parameter data. It is found that that source termination selection and total points used for fitting continue to be the major source of uncertainty for noise parameter accuracy.</p> / Master of Applied Science (MASc)

Single-walled carbon nanotubes (SWNTs) have attracted extensive research effort since their discovery nearly 30 years ago. Their impressive mechanical, optical, thermal, and electronic properties make them promising candidates for incorporation into a variety of applications. Depending on the method used for SWNT synthesis, different diameter ranges can be produced. Within these diameter ranges, a heterogeneous mixture of semiconducting and metallic species are present. The combination of these electronic species, as well as their minimal solubility in common solvents, hinders their incorporation into electronic devices, providing reasons for the development of scalable purification techniques. Although, some impactful purification strategies have been developed in recent literature, the use of conjugated polymers is considerably more scalable, less expensive, and offers processability of the final purified material. At the time of this thesis, the purification of semiconducting SWNTs has been realized using electron-rich conjugated polymers such as polyfluorenes, polycarbazoles, and polythiophenes. For metallic SWNTs, less progress has been made. When enriched, metallic SWNTs could act as an effective replacement for common metals in conductive applications. The objective of this work is to develop an efficient and scalable technique for the dispersion of metallic SWNTs and to shed light on the effect of polymer electronics on SWNT dispersion selectivity using nitrated poly(fluorene-co-phenylene)s and cationic poly(fluorene-co-pyridine)s. These investigations lead to the development of novel techniques using multiple conjugated polymers to yield enriched metallic SWNT samples. A secondary objective of this work is to investigate the gentle removal of the polymer, post-purification using UV-irradiation to cleave the polymer linkages of a poly(carbazole-co-terephthalate). Characterization of the polymer-SWNT composites is carried out using absorbance, photoluminescence, and Raman spectroscopy techniques to evaluate their electronic purity. / Thesis / Doctor of Philosophy (PhD)

Addition reactions of ten neutral nucleophiles and seven anionic nucleophiles with the pentaosmium pentadecacarbonyl carbido cluster Os5C(CO)15 have been kinetically studied and several important reactivity trends have been established. The calculated activation parameters support an associative mechanism involving the attack of nucleophiles on the parent cluster in the rate-limiting step. Decarbonylation reactions of neutral arachno clusters Os5C(CO)15L have also been kinetically studied and different reactivity trends have been observed. Reactions of Os5C(CO)15 with both neutral and anionic nucleophiles produce corresponding arachno clusters in good yield. Neutral arachno clusters decarbonylate when heated to yield corresponding nido clusters. All studied anionic arachno clusters are resistant to decarbonylation, but most of them readily react with organic acids to form corresponding hydrido clusters. Reactions of anionic arachno clusters with methyl triflate yielded several new clusters. Exploration of metal-ligand bond lengths in the respective pairs of arachno and nido clusters yielded a valuable conclusion with regard to steric effects prevalent in these molecules. The mechanisms for polyhedral structural rearrangements between arachno and nido derivatives of the pentaosmium carbido cluster have been proposed. Thermolysis of cluster Ru3[Ph2PCH(Me)PPh2](CO)10 in the presence of diphenylacetylene yields alkyne-substituted clusters Ru3(PhCCPh)[Ph2PCH(Me)PPh2](CO)8 and Ru3(PhCCPh)[Ph2PCH(Me)PPh2](CO)7 as the major products. The backbone-modified diphosphine in both clusters has facilitated the growth of single crystals suitable for X-ray crystallography. The kinetics for the conversion between two clusters have been investigated and the calculated activation parameters were found to be inconsistent with a rate-limiting step involving a dissociative loss of CO.

This dissertation proposes a new framework to characterize the nonlinear behavior of anisotropic materials in an on-line manner. The proposed framework applies recursive estimation and a multi-linear model to characterize the nonlinear behavior of anisotropic materials on-line using full-field strains, which are capable of capturing the multi-axial information of anisotropic materials. A stochastic method is developed to characterize the linear behavior of anisotropic materials under the influence of full-field strain measurement noise. This method first derives stochastic equations based on the formulas of energy-based characterization that utilizes the principle of ener-gy conservation, and then recursively estimates elastic constants at every acquisition of measure-ment using a Kalman filter (KF). Since the measurement model is expressed nonlinearly, the KF utilizes a Kalman gain, which is newly derived in this dissertation through variance minimization, to achieve optimal characterization. The aforementioned method, namely stochastic linear characteri-zation in this dissertation, becomes a basis of the multi-linear characterization method. This method utilizes a multi-linear model, which is defined by partitions, to characterize the nonlinear constitu-tive relations. The multi-linear characterization scales up the number of estimates and identifies the coefficients of each linear partition using the previously derived KF. The recursive updates in measurements not only removes uncertainty through sensor measurements, but also enables the on-line capability of the nonlinear characterization of anisotropic materials. A series of numerical and experimental studies were performed to demonstrate the performance of the proposed framework in characterizing the nonlinear behavior of anisotropic materials. The validity and applicability of the proposed framework were confirmed by the comparison with the known values of the characterized constitutive relations. It was found that the proposed framework identified elastic constants that were in good agreement with known values irrespective of the spec-imen geometry. The results of the multi-linear characterization method were well correlated with known nonlinear stress-strain relations and concluded that the proposed framework is capable of characterizing adequate nonlinear behavior on-line. / Ph. D.

Ionic polymer transducers are a class of electroactive polymer materials that exhibit coupling between the electrical, chemical, and mechanical domains. With the ability for use as both sensors and actuators, these compliant, light weight, low voltage materials have the potential to benefit diverse application areas. Since the transduction properties of these materials were recently discovered, full understanding of their dynamic characteristics has not yet been achieved. This research has the goal of better understanding the actuation response of ionic polymers. A specific emphasis has been placed on investigating the observed nonlinear behavior because the existing proposed models do not account for these characteristics. Employing the Volterra representation, harmonic ratio analysis, and multisine excitations, characterization results for cantilever samples showed that the nonlinearity is dynamic and input-dependent, dominant at low frequencies, and that its influence varies depending on the solvent. It was determined that lower viscosity solvents trigger the nonlinear mechanisms at higher frequencies. Additionally, the primary components of the harmonic distortion appear to result from quadratic and cubic nonlinearities. Using knowledge gained from the characterization study, the utility of different candidate system structures was explored to model these nonlinear response characteristics. The ideal structure for modeling the current-controlled voltage and tip velocity was shown to consist of an underlying linear system with a dynamic input nonlinearity. The input nonlinearity is composed of a parallel connection of linear and nonlinear terms, where each nonlinear element has the form of a Hammerstein system. This system structure was validated against data from measured time and frequency responses. As a potential application, and consequently further validation of the chosen model structure, a square-plate polymer actuator was considered. In this study, the plate was clamped at the four corners where a uniform input was applied, measuring the center-point displacement. Characterization and modeling were performed on this system, with results similar to the cantilever sample. Applying output feedback control, in the form of proportional-integral compensation, showed that accurate tracking performance could be achieved in the presence of nonlinear distortions. Special attention was extended here to the potential application in deformable mirror systems. / Ph. D.

In this dissertation, we examine mechanics of rhythmic tracheal compression (RTC) in the darkling beetle, Zophobas morio. In Chapter 2, we studied the relationship between hemolymph pressure and tracheal collapse to test the hypothesis that pressure is a driving mechanism for RTC. We found that tracheae collapse as pressure increases, but other physiological factors in the body may be affecting tracheal compression in live beetles. Additionally, as the tracheae compress, they do so in varying spatial patterns across the insect body. In chapter 3, we examined spatial variations in the taenidial spacing, stiffness, and tracheal thickness along the length of the tracheae. We related variations in Young's modulus and taenidial spacing with measurements of collapse dimples and found that spatial patterns of Young's modulus correlate with dimensions of collapse dimples. This correlation suggests an intuitive link between tracheal stiffness variations and the unique patterns observed in compressing tracheae. Lastly, in chapter 4, we studied the non-uniform collapse patterns in 3-D. By manually pressurizing the hemocoel and imaging using synchrotron microcomputed tomography (SR-µCT), we reconstructed the tracheal system in its compressed state. While previous studies used 2-D x-ray images to examine collapse morphology, ours is the first to quantify collapse patterns in 3-D and compare with previous 2-D quantification methods. Our method is also the first to make a direct measure of tracheal volume as the tracheal system compresses, similar to the phenomenon that occurs during rhythmic tracheal compression. / Doctor of Philosophy / Insects have long been a source of curiosity and inspiration for scientists and engineers. The insect respiratory system stands as an example of a seemingly complex oxygen delivery system that operates with relative simplicity. As opposed to mammals and other vertebrates, the insect respiratory system does not deliver oxygen using blood. Instead, insects possess a massive network of hollow tracheal tubes that are distributed throughout the body. Air enters spiracular valves along the length of the insect body, travels through the tracheal tube network, and is delivered directly to the tissues. In some insects, the tracheae compress and expand, driving flow of respiratory gasses. However, unlike vertebrate lungs, there are no muscles directly associated with the tracheal system that would drive this tracheal compression, and exactly how this behavior occurs is not fully understood. In this dissertation, we examined pulsatory increases in blood pressure as a possible mechanism that underlies these tracheal compressions in the darkling beetle, Zophobas morio. Additionally, as the tracheae compress, they do so with varying spatial patterns across the insect body. Because tracheae are complex and non-uniform composite tubes, we examined spatial variations in the microstructure, stiffness, and tracheal thickness along the length of the trachea. Lastly, we visualized the variable collapse patterns in three dimensions using synchrotron micro-computed tomography combined with manual pressurization of the hemocoel. While previous studies used two-dimensional x-ray images to quantify tracheal collapse patterns, this work represents the first three-dimensional study. Understanding tracheal collapse mechanics, material properties, and their relationships with the circulatory system can help to gain an understanding of how insects create complex fluid flows within the body using relatively simple mechanisms.