No description available.

Since the beginning of the Industrial Revolution, the global energy consumption has been continuously increasing, supplied mainly by coal, oil and natural gases. Unfortunately, this consumption is linked to the emission of greenhouse gasses such as CO2 to the atmosphere. For this reason, it is extremely important to look for sustainable and renewable energy sources in order to replace the commonly used fossil fuels. Within the different types of renewable energy sources, solar energy holds by far the largest potential capacity. In this respect, artificial photosynthesis is a promising technology not only to harvest solar energy, but also as a means of storage by producing energy-rich chemical fuels such as H2 from water. The main components of photoelectrochemical water splitting devices are the semiconductor light absorber photoelectrodes and the electrolyte. Chapter 1 reviews the fundamental aspects of photoelectrochemical water splitting and overviews the physics and electrochemistry of semiconductor materials. The second chapter describes the methodologies and techniques employed throughout the thesis. The experimental results are reported from Chapter 3 to 8, focusing on the development and further optimization of two photoelectrodes, concretely hematite and cupric oxide, besides the design and fabrication of tandem cells for standalone water splitting. In the case of hematite photoanodes, the main efforts have focused on its doping to enhance carrier density and mobility as a way of diminishing recombination. The major drawback present in cupric oxide photoelectrodes is their instability against photocorrosion, for this reason, research has focused on protecting them, both by impregnation and adsorption methodologies. Finally, a tandem cell composed by a hematite photoanode and a cupric oxide photocathode was developed. It is worth noting that a polymer electrolyte membrane (PEM) was employed as to facilitate upscaling and diminish the corrosion observed employing the typical acidic or basic liquid electrolytes.

The field-programmable gate array (FPGA) is a dynamically reconfigurable digital logic chip used to implement custom hardware. The large densities of modern FPGAs and the capability of the on-thely reconfiguration has made the FPGA a viable alternative to fixed logic hardware chips such as the ASIC. In high-performance computing, FPGAs are used as co-processors to speed up computationally intensive processes or as autonomous systems that realize a complete hardware application. However, due to the limited capacity of FPGA logic resources, denser FPGAs must be purchased if more logic resources are required to realize all the functions of a complex application. Alternatively, partial reconfiguration (PR) can be used to swap, on demand, idle components of the application with active components. This research uses PR to swap components to improve the performance of the application given the limited logic resources available with smaller but economical FPGAs. The swap is called ”resource sharing PR”. In a pipelined design of multiple hardware modules (pipeline stages), resource sharing PR is a technique that uses PR to improve the performance of pipeline bottlenecks. This is done by reconfiguring other pipeline stages, typically those that are idle waiting for data from a bottleneck, into an additional parallel bottleneck module. The target pipeline of this research is a two-stage “slow-toast” pipeline where the flow of data traversing the pipeline transitions from a relatively slow, bottleneck stage to a fast stage. A two stage pipeline that combines FPGA-based hardware implementations of well-known Bioinformatics search algorithms, the X! Tandem algorithm and the Smith-Waterman algorithm, is implemented for this research; the implemented pipeline demonstrates that characteristics of these algorithm. The experimental results show that, in a database of unknown peptide spectra, when matching spectra with 388 peaks or greater, performing resource sharing PR to instantiate a parallel X! Tandem module is worth the cost for PR. In addition, from timings gathered during experiments, a general formula was derived for determining the value of performing PR upon a fast module.

Solar photovoltaics (PV) is expected to be a critical contributor to mitigating the effects of climate change by helping to satisfy net zero emissions. Since crystalline silicon-based solar cells are close to their practical efficiency limit, further reducing the balance of system (BoS) costs is only possible by increasing the cell efficiencies. The most promising candidate is perovskite/silicon (Si) tandem solar cell technology, which allows efficient solar spectrum harvesting. This relatively new technology attracts attention due to its potential to dominate the PV market; however, it also brings challenges that must be overcome, like stability and scalability concerns. This thesis project focuses on optimizing and characterizing recombination junctions (RJs) for monolithic perovskite/Si tandem solar cells aimed at improved performance and stability. Tandem solar cell PV parameter measurements, encapsulated stability measurements, and thin film characterizations are performed for RJ developments. The optimizations are performed for tandem solar cells with solution-processing and hybrid methods. Self-assembled monolayer (SAM) molecules and transparent conductive oxide (TCO) recombination layer (RL) combinations are optimized to obtain tandems with hybrid technique. In addition, the influence of the thickness of TCO RL on the tandem devices’ performance is also investigated, particularly solution-processed tandems. The improvements are observed by thinning down the thickness of TCOs regardless of the material type. 3 Characterizations revealed that ultra-thin ( 5 nm) amorphous indium zinc oxide (IZO) RL allows more workfunction shift, homogeneous surface potential distribution with SAM deposition, and better carrier recombination suppression at the perovskite/hole transport layer (HTL) interface. Ultra-thin RL idea is combined with some optical improvements in the device architecture, and stable high-efficient perovskite/Si tandem solar cells with 32.5% power conversion efficiency (PCE) and 80% fill factor (FF) values are realized. In addition, the preliminary examples of tandem devices with a larger active area (4 cm2 ) are presented. Finally, the remaining challenges and alternative concepts are also discussed.

No description available.

No description available.

No description available.

Inputs of the major element potassium into the ocean from rivers and on-axis high temperature hydrothermal systems have likely varied on geological timescales. Variable uptake of potassium into lavas altered in low-temperature, off-axis, hydrothermal systems could keep the potassium concentration in seawater within the narrow range (~9.5 to 11 mmol L-1) observed in the Phanerozoic. To test this hypothesis a better understanding of the timing of alteration, and of the role of changing environmental conditions on seawater/basalt reactions is required. The age of 69 samples of the secondary, potassium-rich, phyllosilicate mineral celadonite from lavas in the Troodos ophiolite were determined using Rb-Sr radiometric dating to test whether potassium uptake occurs within a specific time interval. Measurements used tandem quadrupole ICP-MS/MS. Combined with published radiometric ages the dataset revealed regional differences in the duration of celadonite formation in the Troodos ophiolite lavas. In one area, where significant hydrothermal sediments were deposited on the lavas, celadonite formed as much as ~40 Myr after the crust accreted, whereas in an area with rare hydrothermal sediments celadonite formation was largely limited to the first ~20 Myr after crustal accretion. These differences in duration of celadonite formation in the upper oceanic crust are interpreted as reflecting differences in distribution of hydrothermal sediments that act as a source of labile Fe that is needed for celadonite formation. To test if there are significant variations of duration and timing of celadonite formation on various scales in the upper oceanic crust I measured the first in-situ Rb-Sr ages of celadonite in lavas from DSDP and ODP drill cores. These ages show that ~80% of celadonite formed from pervasive fluid flow within the first ~20 Myr after the oceanic crust accreted. All celadonite ages roughly correlate with the cumulative heat flow removed from the oceanic lithosphere in the same time interval. In combination the >100 new celadonite ages presented here provide strong evidence that most celadonite forms in the first ~20 Myr after crustal accretion and environmental conditions could be significant in controlling potassium uptake. To determine whether the potassium sink from seawater into altered seafloor lavas varied over time I compile a dataset of the potassium content of lavas from DSDP and ODP drill cores (0 to 180 Myr age range). Estimates of the average potassium content of individual holes reveal that this varies with age. However, holes of similar age show a similar magnitude of variability to that which occurs over this time. To investigate the source of the variability of potassium in altered lavas I modelled the effects of bottom seawater temperature and pH using PHREEQC. The models indicate that if the fluid is in equilibrium with K-feldspar, Na-beidellite and calcite, an increase in bottom seawater temperature and/or decrease in pH would lead to the potassium concentration in the off-axis fluid to increase significantly. This emphasizes the need for future studies to investigate feedback mechanisms between low-temperature hydrothermal alteration in response to changing environmental conditions. / Graduate / 2022-07-12

No description available.

Electric field gradient focusing (EFGF) utilizes a hydrodynamic flow and an electric field gradient to focus and concentrate charged analytes and order them in a separation channel according to electrophoretic mobility. Elution can be achieved by decreasing the applied voltage or increasing the hydrodynamic flow. EFGF has the advantages of concentrating a large volume (100 micro-L) of target proteins without significant band broadening and simultaneously removing unwanted components from the sample. Two types of EFGF devices have been investigated to concentrate and separate proteins: a fiber-based EFGF device and a hydrogel-based EFGF device. Using fiber-based EFGF with UV detection, a concentration factor as high as 15,000 and a concentration limit of detection as low as 30 pM were achieved using bovine serum albumin as a model protein. I also demonstrated the potential of using fiber-based EFGF for quantitative protein analysis. Simultaneous desalting and protein concentration as well as online concentration of ferritin and simultaneous removal of albumin from a sample matrix were also performed using this fiber-based EFGF system. In the approach of utilizing hydrogel-based EFGF, online concentration of amyloglucosidase indicated a concentration limit of detection of approximately 20 ng/mL (200 pM) from a sample volume of 100 micro-L. Both voltage-controlled and flow-controlled elution methods were demonstrated using a 3-component protein mixture. Concentration of human α1-acid glycoprotein with simultaneous removal of human serum albumin was also described. A tandem EFGF system, which integrates fiber-based and hydrogel-based EFGF sections, was also investigated to selectively concentrate and separate proteins in a mixture. By carefully controlling the voltages applied to both sections, charged analytes with high mobilities were trapped in the fiber-based section, analytes with intermediate mobilities in the hydrogel-based section, and analytes with low mobilities not at all. A 3-way switching valve was incorporated in the system to purge the analytes with high mobilities periodically. Selective concentration and separation of myoglobin from a mixture were performed using the tandem EFGF system. Based on the experimental results described in this dissertation, EFGF shows potential for selective isolation, concentration, and quantitation of trace analytes such as proteins in biomedical samples.