Recent Submissions 

  1. JUSTICE-INFORMED ENERGY SYSTEMS PLANNING: clarifying concepts, identifying alternatives, testing claims, and making robust decisions 

    Lonergan, Katherine (2024)
    Energy systems development supports human well-being by providing critical services and economic opportunities but, at the same time, also leads to environmental pollution, creates unmanageable cost burden, and reinforces existing socioeconomic disparities. The relationship between energy systems and human well-being suggests that all energy decisions can be considered moral and ethical concerns, while the uneven burdens and benefits of ...
    Doctoral Thesis
  2. Acoustically Actuated Soft Robots for Biomedical Applications 

    Zhang, Zhiyuan (2024)
    Micro/nano robots and soft robots represent not only crucial areas of research but also pivotal technologies in advancing human healthcare. The utilization of external stimuli and fields, including chemical reactions, light, heat, humidity, electric fields, and magnetic fields, provides a viable option for the design and implementation of soft microrobots. Remarkably, acoustically actuated microrobots developed in the past decade have ...
    Doctoral Thesis
  3. Action Recognition in Egocentric Vision 

    Kwon, Taein (2024)
    Doctoral Thesis
  4. Optimization-based Estimation and Control under Uncertainty 

    Muntwiler, Simon (2024)
    Doctoral Thesis
  5. In the Shadow of Civil War: The interdependence of civil wars and conflicts between informal armed groups 

    Wiehler, Claudia (2024)
    The complexity of contemporary armed conflicts has been widely acknowledged. Not least, the concurrence of civil wars and conflicts involving informal armed groups, such as militias, vigilantes, and communal groups, poses a serious challenge to peacemaking. Overlooking how conflicts are interwoven can render peacemaking interventions ineffective and complicate the conclusion of stable and comprehensive peace agreements. However, empirical ...
    Doctoral Thesis
  6. Water Solubility in Mantle Phases and its Effect on Physical Properties 

    de Selva-Dewint, Thomas Théodore Maximilien (2024)
    Water is essential for our species’ survival on this planet and its behavior and presence inside of the Earth has been a topic of interest for many years. On the Earth’s surface water is ubiquitous and calculating its quantity is relatively straight-forward. Determining the quantities present in the Earth’s deep interior is much more challenging. To investigate the current water content of the Earth’s mantle, a combined experimental and ...
    Doctoral Thesis
  7. Modelling progressive collapse of timber buildings and its applications 

    Cao, Alex Sixie (2024)
    The primary function of buildings is to provide safety and shelter from the environment and a functional space for human activities. To ensure their safety, design standards provide guidance on the minimum requirements and how they can be fulfilled. In the vast majority of cases, this approach is successful and we as a society witness relatively few failures and collapses of buildings. Nevertheless, some buildings may fail to provide ...
    Doctoral Thesis
  8. The genetic code and evolution 

    Rozhoňová, Hana (2024)
    Doctoral Thesis
  9. Mechanobiology and Mineralization Dynamics in Bone Health and Disease: Insights from Computational Modeling, Organotypic Models, and In Vivo Studies 

    Griesbach, Julia Kerstin (2024)
    Bone is a fascinating material which is able to functionally adapt to mechanical demands by remodeling itself. Discussions about bone health and disease, typically revolve around increased bone fracture risk and strategies aimed at mitigation or prevention of such fractures. Animal models, particularly mice, have played a significant role in advancing bone disease research, elucidating phenomena such as the influence of local mechanical ...
    Doctoral Thesis
  10. 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
  11. 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
  12. 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
  13. Synthesis of Unusual Metal Complexes for Structural and Catalytic Studies 

    Banz, Stefan Martin (2024)
    Doctoral Thesis
  14. 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

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