Lower-level publication types

Recent Submissions 

  1. Development of Phosphorus Compounds and Organometallic Complexes: A Hybrid Computational and Experimental Approach 

    Gamboa Carballo, Juan José (2024)
    The following thesis highlights the importance of combining experimental techniques with computational studies, an essential approach in chemical research. This general strategy is particularly useful for understanding molecular structures, bond energies, and reaction barriers. The work presented here emphasizes the importance of selecting appropriate methods to effectively use theoretical and computational resources to understand chemical ...
    Doctoral Thesis
  2. Synthesis of Unusual Metal Complexes for Structural and Catalytic Studies 

    Banz, Stefan Martin (2024)
    Doctoral Thesis
  3. Investigating Shape Priors, Relationships, and Multi-Task Cues for Object-level Scene Understanding 

    Elich, Cathrin (2024)
    Humans are proficient at intuitively identifying objects and reasoning about their diverse properties from complex visual observations. Despite significant advances in artificial intelligence, computers have yet to achieve a comparable level of understanding, which is crucial for effective reasoning about tasks and interactions within an environment. In this thesis, we explore the benefits of various visual cues when dealing with key ...
    Doctoral Thesis
  4. Magnetocapacitance investigations in InAs/GaSb quantum wells separated by an AlSb barrier 

    Solano Lopes Ribeiro, Amina (2024)
    In this thesis we investigate the magnetocapacitance response in the Indium Arsenide (InAs) and Gallium Antimonide (GaSb) quantum wells (QWs) separated by an Aluminium Antimonide (AlSb) insulating barrier. The conduction band (CB) edge for InAs lies below the valence band (VB) edge for GaSb, forming an inverted band alignment regime. Confined electrons in the InAs and holes in the GaSb QWs form a two-dimensional electron gas ($2$DEG) and ...
    Doctoral Thesis
  5. Data-driven modeling of mechanical systems on spectral submanifolds in theory and practice 

    Axås, Joar (2024)
    In this thesis, we discuss how to apply spectral submanifold (SSM) theory to obtain low-dimensional models of smooth dynamical systems from data. To this end, we build on the recent SSMLearn algorithm, which identifies the geometry of an SSM in an observable space and its reduced dynamics in the normal form. In particular, we validate many of the assumptions on which data-driven SSM modeling is based and show how to expand its applicability ...
    Doctoral Thesis
  6. Terahertz Quantum Cascade Lasers as Optical Soliton Sources and Ultra-Fast Detectors 

    Micheletti, Paolo (2024)
    Optical frequency combs are sources of electromagnetic radiation whose spectrum consists of a set of equidistant, phase locked modes. Thanks to their ability to bridge microwave and optical domains, they have revolutionized the fields related to precision metrology and spectroscopy. Their employment in the THz frequency domain is particularly interesting both scientifically and technologically, although frequency comb sources are still ...
    Doctoral Thesis
  7. Fluid-structure interaction and instabilities in pulsatile flows through flexible vessels 

    Zeugin, Till (2024)
    Pulsatile pipe flows are ubiquitous in technology and nature and can give rise to complex fluid-structure interactions (FSIs) when pipe walls are flexible. In pipelines and pressure pipes, FSI may lead to increased energy expenditure or even failure in the most extreme case. In nature, the cardiovascular system may be considered one of the most prominent examples of pulsatile flows, in which FSI of the blood flow in flexible arteries is ...
    Doctoral Thesis
  8. In-Network Congestion Management for Security and Performance 

    Gran Alcoz, Albert (2024)
    It was during the early days of the ARPANET that researchers first realized the crucial role that congestion would play in the Internet’s performance. Since then, numerous scholars have dedicated themselves to developing a variety of algorithms to proactively manage it. Today, 50 years later, the Internet has undergone significant evolution. Yet, network congestion remains one of the biggest open challenges in current Internet design. In ...
    Doctoral Thesis
  9. Circuits and Algorithms for Always-on Edge Intelligence 

    Liao, Jiawei (2024)
    Doctoral Thesis
  10. Circular and Sustainable Processing Route for Pet-Fibre Composites 

    Vetterli, Oliver (2024)
    Doctoral Thesis
  11. Deep Beyond Pixels: Enhancing Super-Resolution via Deep Learning 

    Cao, Jiezhang (2024)
    Super-resolution (SR) aims at restoring high-resolution (HR) images or videos from low-resolution (LR) counterparts. Recently, the rise of deep learning has significantly advanced SR, enabling impressive real-world applications through deep neural networks. Despite tremendous progress, SR faces critical challenges including integrating cross-information, scaling cross-scale image resolutions effectively, handling cross-degradations ...
    Doctoral Thesis
  12. Effektiv dichter! Aber wie? 

    Caluori, Iva (2024)
    This thesis examines the development of housing space consumption per capita in the city of Chur from 2014 - 2022 and illustrates the role of municipal spatial planning in reducing this consumption. Given the ongoing expansion of urban areas, it is crucial to address urban sprawl through effective legal frameworks such as the prioritization of internal development in Switzerland. The question of how the consumption of housing space per ...
    Master Thesis
  13. Effective Genome Editing with RNA-guided Systems optimized by Deep Learning 

    Marquart, Kim Fabiano (2024)
    Doctoral Thesis
  14. In-situ monitoring of powder bed fusion of metals using laser profilometry and eddy current testing 

    Spurek, Marvin A. (2024)
    Laser-based powder bed fusion of metals (PBF-LB/M) is nowadays the most widely used additive manufacturing (AM) technology for metal parts globally. Despite tremendous recent technological advancements, inconsistent part quality remains one of the most important obstacles for further industrialization. This inconsistency stems from the stochastic nature of the process, the multitude of influencing parameters, and a lack of understanding ...
    Doctoral Thesis
  15. A Matter of State: Methods, Transport, and Fate of Environmental DNA 

    Kirtane, Anish A. (2024)
    Biodiversity monitoring is pivotal for sustaining stable ecosystems and is integral to human sustainable development. Despite the critical need for accurate biodiversity assessments, conventional monitoring methods face challenges such as uneven spatial coverage and low data quality. These methods are also resource-intensive, hindering global monitoring efforts. Environmental DNA (eDNA) analysis emerges as a promising tool in this context, ...
    Doctoral Thesis

View more