Recent Submissions 

  1. Computational Methods for Sustainable Mobility - Interpretation and Prediction of Tracking Data using Graphs and Machine Learning 

    Martin, Henry (2023)
    Many of today’s urgent challenges, such as greenhouse gas emissions and climate change, air quality and health, or traffic and congestion, are closely linked to the movement of people and goods. A major cause of these problems is fossil fuel based individual transport, making individual mobility behavior change a requirement for solving them. Computational methods based on data collected using Information and Communication Technologies ...
    Doctoral Thesis
  2. Applications of Deep Learning to Scientific Computing 

    Molinaro, Roberto; Molinaro, Roberto (2023)
    Physics-informed neural networks (PINNs) have been widely used for the robust and accurate approximation of partial differential equations. In the present thesis, we provide upper bounds on the generalization error of PINNs approximating solutions to the forward and inverse problems for PDEs. Specifically, we focus on a particular class of inverse problems, the so-called data assimilation or unique continuation problems. An abstract ...
    Doctoral Thesis
  3. Generation and Transmission Expansion Planning for Net Zero Scenarios Using an Ensemble of Interfaced Models 

    Raycheva, Elena (2023)
    Driven by global efforts for a more sustainable energy system, electric power systems around the world are undergoing a rapid transformation on both the supply and demand side. On the supply side, conventional fossil fuel-based generation is being substituted with high shares of renewable energy technologies, while the demand side is seeing a rise in electricity consumption due to the electrification of other sectors such as transport, ...
    Doctoral Thesis
  4. Modelling the impact of antibiotics and resistant strains in chicken and human gut in the in vitro PolyFermS fermentation model 

    Pennacchia, Alessia (2023)
    Antimicrobial resistance is nowadays one of the most critical threaten for human and animal’s health worldwide. The quick emerging of antibiotic resistant bacteria is the cause of already 2 million deaths globally, and it has been estimated to increase to 10 million yearly by 2030. Antibiotic administrations are known to cause dysbiosis in the gut environment, leading to several inflammatory diseases and enhancing the colonization of ...
    Doctoral Thesis
  5. Narrating the Anthropocene in Art, Architecture, and Film in Works by Lara Almarcegui, Andrei Tarkovsky, and Peter Zumthor 

    Romakin, Helene (2023)
    This dissertation investigates the role of storytelling in encountering the challenges posed by the non-representability of the Anthropocene. It argues that the new epoch requires novel narrative strategies and imaginaries to examine and dismantle existing dualisms manifested by Western cultures, such as of objectivity vs. subjectivity, culture vs. nature, pragmatism vs. emotions, in order to redefine and reshape our relations to nature ...
    Doctoral Thesis
  6. Grid-forming hybrid angle control for power converters in low-inertia power systems 

    Tayyebi Khameneh, Ali (2023)
    This thesis investigates the comparative system-level performance of classic grid-forming converter control strategies in different low-inertia power system models, i.e., the IEEE 9-bus test system and Hydro-Quebec transmission grid models. The extensive electromagnetic transients simulation-based case studies highlight the positive influence of the grid-forming converters on frequency stability. Further, the behavioral differences of ...
    Doctoral Thesis
  7. Optimal Sequence Alignment using A* 

    Ivanov, Petar (2023)
    Sequence alignment is the task of finding similarities between sequences. It has been a central building block in molecular biology since DNA, RNA and protein sequences were first obtained half a century ago. Sequence alignment is applied to research and medicine, with applications in evolutionary biology, genome assembly, oncology and many others. The analyses of the growing amounts of genomic data require algorithms with high accuracy ...
    Doctoral Thesis
  8. Decarbonizing Passenger Road Transportation in Switzerland 

    Luh, Sandro (2023)
    Doctoral Thesis
  9. On board monitoring for railway infrastructure condition assessment 

    Hoelzl, Cyprien (2023)
    Doctoral Thesis
  10. Design and Engineering of Granular Hydrogels for Biomedical Applications 

    Emiroglu, Dilara Börte (2023)
    Polymeric materials are commonly employed to mimic the biomechanical and biochemical milieu of endogenous cells, due to their physicochemical similarity to native tissues that support cellular attachment and proliferation. Traditional bulk hydrogels, however, fall short in sustaining long-term biofunctionality because of their static nature and the strong coupling of matrix stiffness and porosity (⁓ nm). In addition, their clinical ...
    Doctoral Thesis
  11. Laser-Pyrolyzed Graphenic Paper: Toward Smart Electrochemical Diagnostic Tests 

    Bezinge, Léonard (2023)
    Microfluidic paper-based analytical devices, such as lateral flow assays, are indispensable tools for disease diagnostics. Their utility stems from their low cost, portability, and ease of operation via passive capillary flow. While nearly all tests rely on qualitative colorimetric readouts, electrochemical signal transduction offers an attractive route toward device miniaturization and quantitative signal output. Unfortunately, electrode ...
    Doctoral Thesis
  12. Optimised nanolithography and etching of lithium niobate on insulator for photonic integrated circuits 

    Kaufmann, Fabian (2023)
    Integrated photonics is a rapidly advancing field that focuses on manipulating and con- trolling light on a chip-scale platform. By integrating various passive and active optical components onto a single chip, such as waveguides, lasers, modulators, and detectors, integrated photonics enables the development of compact, scalable and energy efficient high-performance devices for data communication, sensing, imaging, and quantum ...
    Doctoral Thesis
  13. Modelling induced seismicity in deep geothermal systems 

    Ritz, Vanille (2023)
    Doctoral Thesis

View more