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In the 21st century solar energy is predicted to serve as a major source of energy, being the only source having the potential to fulfill the ever increasing energy needs. Most of the large scale solar farms employ flat plate photovoltaic concept, so the installation footprint and shadow effect causes a huge drop in the electrical efficiency of the system. This paper aims at developing a methodolo
Monoclonal antibodies (mAbs) have emerged as powerful therapeutic agents with effective and targeted treatments in recent years. The downstream processing of mAbs traditionally relies on protein A chromatography followed by ion exchange or hydrophobic interaction chromatography for purification. Despite the high purification efficiency of protein A chromatography, additional steps are needed to me
Antisolvent crystallization is necessary in the development of solid organic compounds used in pharmaceutical or agrochemical applications. The crystal shape and size impact drug aspects such as flowability, compatibility, dissolution, and absorption rate. These organic compounds are commonly recovered by adding antisolvent to the solution to reach supersaturation. To fine-tune crystal properties,
Knowing about crystal formation of organic compounds is knowing about pathways to improve a patient’s life. The crystal shape and size impact several drug aspects such as flowability, compatibility, and dissolution. A controlled solution mixing and antisolvent mass transfer is key to obtain desired crystal properties, which can be achieved using membrane technology. A membrane plays the role of a
Many-body interactions such as exciton-exciton interactions significantly affect the optical response of semiconductor nanostructures. These interactions can be rigorously modeled through microscopic calculations. However, these calculations can be computationally intensive and often lack physical insights. An alternative is to use phenomenological many-body-interaction models such as the modified
Background: The transition toward a sustainable bioeconomy requires efficient strategies for converting renewable biomass and industrial side streams into value-added chemicals and fuels. Fusel oil is an important coproduct of bioethanol fermentation and levulinic acid (LA), a key platform molecule derived from lignocellulosic biomass, can be upgraded into alkyl levulinates, which are promising gr
Among the recommendations to prevent heart disease is the maintenance of normal blood cholesterol levels, through the consumption of a cardioprotective diet, and if necessary, the use of therapeutics such as statins. Alterations in the gut microbiota have previously been associated with the development of obesity, insulin resistance and increased risk of developing cardiovascular disease (CVD
The calculation of the coherent nonlinear response of a system is essential to correctly interpret results from advanced techniques such as two-dimensional coherent spectroscopy. Usually, even for the simplest systems, such calculations are either performed for low-intensity excitations where perturbative methods are valid and/or by assuming a simplified pulse envelope, such as a δ-function in tim
Two-dimensional coherent spectroscopy (2DCS) provides simultaneous measurement of homogeneous and inhomogeneous linewidths through quantitative line shape analysis. However, conventional line shape analysis methods assume Gaussian inhomogeneity, limiting its applicability to systems with non-Gaussian inhomogeneity. We present a quantitative line shape analysis method incorporating arbitrary inhomo
Charge recombination, which causes photocurrent loss, is a critical factor limiting the performance of dye-sensitized solar cells (DSSCs). Introducing alkyl or alkoxy chains into molecular structures has been established as an effective strategy to mitigate this process. Therefore, this study systematically investigated the influence of alkoxy groups in triphenylamine (TPA) and alkyl/alkoxy phenyl
Organic photodetectors (OPDs) are promising for flexible and large-area imaging, but simultaneously achieving a fast response and high sensitivity remains limited by the intrinsic trade-off between dark-current suppression and charge extraction. Here, we effectively mitigate this limitation through a structurally decoupled OPD architecture integrating a kinetically engineered homogeneous ZnPc:C60
Integrating pollutant detection and degradation into a single material platform is highly desirable for the efficient treatment of dye-contaminated wastewater. However, simultaneously achieving sensitive detection and efficient photocatalytic activity remains challenging because these functions involve distinct interfacial processes. In this work, an Ag NPs@Cu-V2O5 hybrid was prepared through wet-
Quantum coherences are the primary signatures of nonadiabatic dynamics in biological complexes, yet their unambiguous detection remains a challenge. Conventional time-resolved spectroscopies rely on temporal beating patterns that are inherently convoluted with population-relaxation dynamics and instrumental artifacts, often hiding the genuine coherences. We introduce a technique that exploits macr
Charge utilization in photocatalytic CO2 reduction in covalent organic frameworks (COFs) depends not only on generating long-lived charges but on directing them efficiently to catalytic sites. This review connects ultrafast photophysics with interfacial catalysis by examining charge generation, separation, transport, localization, and utilization across femtosecond-to-second timescales. It compare
This doctoral thesis consists of four independent papers in Finance. A common theme that unites them relates to cyclical aspects of investor demand – with a focus on the corporate bond market – and related implications for liquidity, asset pricing, financial intermediation and systemic risk. The notion of flat demand curves for securities is a central tenet of the Efficient Markets Hypothesis (EMHThis doctoral thesis consists of four independent papers in Finance. A common theme that unites them relates to cyclical aspects of investor demand – with a focus on the corporate bond market – and related implications for liquidity, asset pricing, financial intermediation and systemic risk. The notion of flat demand curves for securities is a central tenet of the Efficient Markets Hypothesis (EMH
Bioelectronic therapies commonly rely on rigid and permanently implanted electrodes that are mechanically mismatched to soft biological tissues and may require invasive implantation and removal. This thesis develops injectable platforms that assemble into soft, conductive electrodes directly at the target tissue and subsequently bioresorb. The platforms combine the self-doped conducting polymer PE
Nonlinear spectroscopy is a powerful method for measuring complex systems with significant inter-state correlations. Even methods such as these are, however, still vulnerable to spectral congestion. One of the proposed methods to enhance the resolution of this already powerful technique is to harness the strong correlations of photon-frequency entanglement. This is easier said than done of course,
This thesis examines robotic failure from the perspective of its social implications for human-robot interaction (HRI). Drawing on prior literature on the definitions, taxonomies, and motivations for studying robotic failure, the included papers focus on how humans respond to failure in HRI. In particular, the papers examine changesin attention, as well as human responses such as repair, helping,
