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Covalent immobilization of chiral dienes in mesoporous solids for asymmetric heterogeneous catalysis is highly attractive. In order to study confinement effects in bimolecular vs monomolecular reactions, a series of pseudo‐C2‐symmetrical tetrahydropentalenes was synthesized and immobilized via click reaction...
Fiber‐reinforced polymer composites (FRPCs) are versatile materials with applications in diverse fields such as transportation, construction, and electronics. With the composites market expected to reach 15.5 Mt by 2026, increasing the sustainability of FRPCs is imperative. The main factors driving th...
The Antarctic sea ice, which undergoes annual freezing and melting, plays a significant role in the global climate cycle. Since satellite observations in the Antarctic region began, 2023 saw a historically unprecedented decrease in the extent of sea ice. Further ocean warming and f...
In 2019, one-fourth of all internet traffic was made of malicious bots. CAPTCHAs are a main countermeasure used as a test to detect non-human users. With the advancement of computational attackers using artificial intelligence, their success in these CAPTCHAs rises continuously. This ba...
Prompting of transformer-based autoregressive large language models (LLMs) is a powerful and ergonomic approach to solve language processing tasks (sentiment analysis, question answering, . . . ) using few data. However for each individual task/prompt it is also wasteful: Only a fractio...
Gender identity encompasses a broad spectrum that goes beyond traditional cisnormative views. In applications of pre-trained language models (PLMs), such as identity verification systems, cisnormative practices can harm individuals, for instance, misinterpreting non-binary identities as non-human (Dev et a...
Tiefe Neuronale Netze (DNNs) sind derzeit die leistungsstärksten Modelle im Bereich des maschinellen Lernens und lösen erfolgreich viele Aufgaben, wie zum Beispiel Bild- und Spracherkennung, semantische Segmentierung oder Datengenerierung. Aufgrund der inhärent hohen Rechenkomplexität von DNNs wurden schon ...
Percutaneous vertebroplasty is a surgical procedure for treating vertebral fractures involving injection of a so-called "bone cement'' into the vertebra. This Ph.D. thesis aimed to develop a computational model for simulating vertebroplasty, and thereby help practitioners determine the best...
The present thesis is concerned with the concept of distributed redundancy in linear elastostatics of load-carrying structures. This concept addresses supernumerous self-equilibrating force states in a statically indeterminate structure activated by internal constraint due to geometric compatibility. The r...
Skeletal muscle adaptation includes changes in shape and size, changes at the organelle function and distribution inside muscle cells, and changes at the molecular scale. Prolonged repetition of loading conditions (physical activity and exercise) promote the activation or inhibition of certain...
Question Answering (QA) systems enable machines to understand human language, requiring robust training on related datasets. Nonetheless, large, high-quality datasets are only sometimes available due to cost restrictions. Active learning (AL) addresses this challenge by selecting the data with high...
Progress in numerical weather and climate prediction accuracy greatly depends on the growth of the available computing power. As the number of cores in top computing facilities pushes into the millions, increased average frequency of hardware and software failures forces users to review...
Making use of experimental data for bias extension, shearing, and point-load tests in large deformation regime for rectangular and square bi-pantographic specimens, we perform a numerical identification to fit the a priori parameters of a planar discrete spring model. The main objective ...
In this paper, we represent second-gradient internal work functionals in Lagrangian (referential) and Eulerian (spatial) descriptions, and we deduce the corresponding expressions for the Piola transformations of stress and double-stress tensors and of external forces and double-forces. We also derive,...
A new director-based finite element formulation for geometrically exact beams is proposed by weak enforcement of the orthonormality constraints of the directors. In addition to an improved numerical performance, this formulation enables the development of two more beam theories by adding fur...
The extraction of novel information from omics data is a challenging task, in particular, since the number of features (e.g. genes) often far exceeds the number of samples. In such a setting, conventional parameter estimation leads to ill-posed optimization problems, and regularization ...
This numerical study aims at predicting the reflective behavior of different conventional inlet and outlet far-field boundary conditions as well as available non-reflecting boundary conditions (NRBC) implemented in the commercial CFD solver ANSYS CFX. An isolated rotor model of an axial turb...
Detection of metastasis spread at an early stage of disease in lymph nodes can be achieved by imaging techniques, such as PET and fluoride-marked tumor cells. Intraoperative detection of small metastasis can be problematic especially in minimally invasive surgical settings. A γ-radiation...
Millions of users write and read freely accessible texts every day on online literary platforms (OLPs). Intra-platform surveys aside, only very few studies have considered the demographics of digital readers and authors. Our exploratory study of avid OLP users helps to close this r...
Coreless filament winding is a manufacturing process used for fiber-reinforced composites, resulting in high-performance lightweight lattice structures. Load transmission elements, which are assembled from commercially available standardized parts, often restrict the component design. A novel adaptive winding p...
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Universität Stuttgart 15138
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- 164 Renn, Ortwin
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