Mathematisch-Naturwissenschaftliche Fakultät: Mathematisch-Naturwissenschaftliche Fakultät: Neuzugänge
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Reactivity of Surfaces with F Centers
(2023-08-24)This thesis is concerned with the theoretical investigation of the chemical and catalytic properties of the alkali halide <em>F</em> center. It explores how density functional theory (DFT) and statistical mechanics can be ... -
Biotechnologische Produktion der Plattformchemikalie Succinat durch das Darmbakterium Phocaeicola vulgatus
(2023-08-23)Aufgrund des steigenden Interesses an nachhaltigen Produktionsprozessen nimmt der Umstieg einer petrochemischen Produktion von Bulk-Chemikalien hin zu einer mikrobiellen Synthese immer mehr an Bedeutung zu. Im Fokus dessen ... -
Higher-order statistics in cosmic shear
(2023-08-23)The humble goal of cosmology is to understand the Universe as a whole. In the last decades, the Lambda Cold Dark Matter model has proven itself as the standard model of cosmology by explaining the majority of cosmological ... -
Neue Phenylen-basierte molekulare Speichenräder
(2023-08-21)Der erste Teil dieser Arbeit befasst sich mit der Synthese von Phenylen-basierten molekularen Speichenrädern (MSWs), welche sieben Hexaphenylbenzol Einheiten aufweisen. Eines dieser Einheiten befindet sich, wie schon bei ... -
Analysis of functional morphology in carnassial dentitions (Carnivora, Dasyuromorphia, Hyaenodonta)
(2023-08-14)Functional and structural changes in the evolution of carnassial teeth in the Carnivora, Dasyuromorphia and Hyaenodonta are analyzed by a combination of Occlusal Fingerprint Analysis, Dental Topographic Analysis (quantification ... -
AI Models for Modeling and Simulation of Clinical Studies for Alzheimer's and Parkinson's Disease
(2023-08-14)Neurodegenerative diseases (NDDs) have a complex structure and most of them are untreatable that’s why more research studies undertake translational paths for getting better insights into prevention, early detection, and ... -
Geodesics, Splines, and Embeddings in Spaces of Images
(2023-08-08)This thesis focuses on two main mathematical topics: geodesic and spline interpolation of images using the metamorphosis model, and learning low bending and low distortion image manifold embeddings. <br /> The metamorphosis ... -
Searching for the Ashes of Dead Stars
(2023-08-08)Hydrogen, helium, and trace amounts of lithium were formed during the Big Bang, but most other elements originally formed deep inside stars by the process of nuclear fusion. They were later scattered across the cosmos, ... -
Integrated Terrestrial Simulations over Europe: Groundwater-Atmosphere Feedbacks with Altered Water Tables Including the Effect of Recent Droughts
(2023-08-08)The groundwater flow is an essential part of the terrestrial system encompassing the atmosphere, land surface, and subsurface. In past research, there was usually no focus on water in the subsurface because climate models ... -
Cell Layout Routing
(2023-08-08)The design of modern computer chips is an immensely complex task that is typically broken down into many subproblems. One of these is the cell layout problem, which is the task of generating a layout for a given input ... -
Riemannian Calculus and Shape Optimization on the Space of Discrete Surfaces
(2023-07-27)This thesis makes contributions to shape spaces and shape optimization of discrete surfaces. Discrete surfaces are triangle meshes with certain regularity and are ubiquitous in many applications in computer graphics, ... -
Management of oxidative stress in plants: dissecting the dual role of glutathione in oxidant reduction and protein S-thiolation
(2023-07-27)The regulation of enzyme activity by post-translational modifications enables a fast acclimation at the metabolic level under changing environmental conditions. The amino acid cysteine is very susceptible to redox modifications ... -
Dynamics of group II introns in plant mitogenomes and rickettsial DNA invasions in the mitogenome of Haplopteris ensiformis
(2023-07-27)The complexity of mitochondrial genomes (mtDNA) in vascular plants is well-known, with factors such as repetitive sequences, variable structural organization, gene synteny decline, high intron content, and RNA editing ... -
Visual Prototyping of Knitwear
(2023-07-25)In this thesis, we address the problem of prediction and editing of the virtual appearance of knitted cloth. Among the most accurate approaches to model fabrics and other complex materials is to represent them in terms of ... -
Quantenchemische Untersuchung von Katalysator-Trägermaterialien
(2023-07-24)Die vorliegende Arbeit beschreibt die Entwicklung und Anwendung quantenchemischer Methoden zur Untersuchung von Katalysator-Trägermaterialien für die saure Sauerstoff-Entwicklungs-Reaktion (OER). Im Rahmen einer nachhaltigen ... -
Utilization of Reconstructive Representation Learning for Robust Classification
(2023-07-20)Deep neural networks (DNNs) are generally trained via empirical risk minimization (ERM) on classification tasks. While this has lead to impressive results in scientific benchmarks, as well as, industrial applications, it ... -
Scalable Distributed Machine Learning for Knowledge Graphs
(2023-07-17)Due to the increasing progress of digitization, immense amounts of data are accumulating, which can be summarized under the term Big Data and form an exciting basis for data analyses. Since the data are heterogeneous and ... -
Time Filter Assisted Deep Learning to Predict Air Pollution
(2023-07-13)Exposure to ground-level ozone harms human health as well as the entire ecosystem, so accurate prediction of ozone exposure is of particular importance. Machine learning (ML), and deep learning (DL) in particular, has ... -
Cellular and molecular mechanisms of ANCA-associated vasculitis
(2023-07-12)ANCA-associated vasculitides (AAV) are a group of life-threatening autoimmune diseases that lead to necrotizing inflammation of the small and medium-sized blood vessels in various organs. Pulmonary hemorrhages are associated ... -
Using Advanced Machine Learning Techniques to Study Poorly Modeled Processes in pp Collisions with the ATLAS Detector
(2023-07-12)In high energy particle physics, measurements are made to improve and test our models. Some processes are difficult or impossible to model with current capabilities. For some, this means that one would estimate such processes ...
