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Exploring Neuronal Function and Disease Mechanisms Through Advanced Electrophysiological Phenotyping with High-Density Microelectrode Arrays
(2024)Recent advances in high-density microelectrode array (HD-MEA) technology have significantly enhanced our ability to capture the complex electrical activity of neuronal networks at unprecedented temporal and spatial resolution. Concurrently, the advent of human induced pluripotent stem cells (iPSCs) has revolutionized disease modeling, enabling the generation of patient-specific neuronal cultures that recapitulate the phenotypic characteristics ...Doctoral Thesis -
Engineering chimeric antigen receptor signaling architectures for T cell immunotherapies
(2024)Chimeric Antigen Receptors (CARs) are rationally designed synthetic receptors that are engineered to redirect the specificity and effector function of T lymphocytes toward a target surface antigen. Particularly in the realm of cancer therapeutics, CAR T cells designed to target tumor-associated antigens have emerged as a groundbreaking approach within cellular immunotherapy, showcasing remarkable clinical efficacy in the treatment of B ...Doctoral Thesis -
Numerically Efficient Models for the Large Deformation Behavior of Metallic Structures and Materials
(2024)Doctoral Thesis -
Towards Monte Carlo based Full Spectrum Modeling of Airborne Gamma-Ray Spectrometry Systems
(2024)Doctoral Thesis -
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Tackling Bacillus spore resistance to isostatic high pressure germination and inactivation
(2024)Doctoral Thesis -
Design and Operation of Sustainable Net-Zero Energy Systems
(2024)Limiting human-induced climate change requires steep greenhouse gas (GHG) emission reductions to net-zero across all sectors. Carbon capture, removal, and storage technologies contribute to this target by reducing hard-to-abate emissions in industry and offsetting residual and historical emissions. A lack of real-world data limits the accuracy of environmental assessments of carbon capture, removal, and storage technologies. Here, we ...Doctoral Thesis -
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Unsteady data-driven and hybrid LES/RANS simulations of turbulent flows
(2024)Computational fluid dynamics (CFD) offers significant advantages over experimental methods in fluid dynamics studies. For example, it allows for detailed analysis and visualization of fluid flow phenomena that are often difficult or impossible to measure experimentally, providing insights into complex flow structures, turbulence, and interactions at a much finer scale. In numerous engineering disciplines, turbulent flow simulations ...Doctoral Thesis