Ph.D. Theses

Protein-protein interactions are critical for most physiological andpathophysiological processes. Detailed characterization of these interactions is thereforeessential not only to understand the nature of these events, but also to design strategiesto target these interactions. [...]

Plants must quickly adapt to their surroundings due to their sessile nature. Their ability to adjustand thrive in diverse environmental conditions directly impacts their growth and development.This is especially critical for crop plants, where quantity and quality are vital to secure properglobal nutrition. [...]

The formation of microstructures is a crucial step for steelmakers. In the case of DP steels, used for automotive construction, this formation takes place during intercritical annealing after cold-rolling [...]

Precision measurements of Standard Model processes are a fundamental part of experimental particle physics. Diboson channels at the Large Hadron Collider (LHC) are interesting processes for precision measurements since the relatively high cross-sections and low background contamination allow for small uncertainties. [...]

Documenting the evolution of flexible and stretchable electronics, this thesishighlights the shift from traditional circuits to innovative designs that leveragematerials like organic semiconductors and advanced substrates for enhancedmechanical, optical, and electrical properties.Recent advancements in flexible electronics, primarily due to effective management of bending strain, have unlocked diverse applications including wearabletechnology, flexible solar cells, bio-integrated devices, and notably, stretchableorganic displays, with the latter being a focal point of this project. While bendabledesigns have successfully entered commercial production, the development ofstretchable applications continues to pose significant challenges.The focus here is on optimizing each element of organic light-emitting diodes,from elastomeric substrates and electrodes to active organic layers, balancingperformance with cost-effectiveness for potential mass production. [...]

In the years 2016–2018 the CMS Experiment at CERN’s Large Hadron Colliderrecorded a large amount of proton-proton collision data at a centre-of-mass energyof 13 TeV, corresponding to an integrated luminosity of 138 fb−1.With this large dataset, the associated production of top quarks with the Z bosonhas been measured precisely and differentially. In this thesis, for the first time,single and pair production of top quarks in association with a Z boson (tZq, tWZand ttZ) are measured simultaneously and differentially. [...]

Modern high energy physics experiments fundamentally rely on large quantities of simulateddata, placing significant demands on the available computational resources. Machine learningmethods based on deep generative models promise to reduce the compute time required tosimulate particle showers in the calorimeter system, which constitutes the most computationallyintensive part of a full detector simulation.This work focuses on the development of a first simulation tool based on deep generativemodels for shower simulation in highly granular calorimeters, and subsequently studies itsperformance in a realistic detector geometry. [...]

The objective of this thesis is to investigate molecules of astronomical interest with a multi-spectroscopic approach to allow the chemical inventory of interstellar molecules to be better determined. This will also contribute towards a more comprehensive understanding of their formation mechanisms in the Interstellar medium. [...]

Addressing the challenge posed by multi-resistant bacterial infections, particularly thosecaused by Staphylococcus epidermidis and Staphylococcus aureus, is paramount inmodern medical research. This dissertation delves into the study of Penicillin-bindingProteins (PBPs), with a specific focus on SePBP3, as essential targets for novelantibacterial drug development. [...]