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Nanocomposites as electrocatalysts for the use in fuel cell and electrolyzer reactions

Author(s): Léonard Jean Moriau (Author), Nejc Hodnik (Supervisor)

Year: 2023

Type: Doctoral dissertation

Electrochemical energy conversion devices such as fuel cells (FCs) and water electrolyzers (WE) have attracted attention from the scientific community for their unique ability to store electrical energy in the form of hydrogen and then generate electricity by the reverse process. Unfortunately, those devices rely on a significant amount of …

Towards understanding the impact of problem landscapes in numerical black-box optimization

Author(s): Urban Škvorc (Author), Peter Korošec (Supervisor), Tome Eftimov (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

In optimization, it is well known that algorithm performance is dependent on the problem being solved. As a consequence of this, achieving good optimization results requires correctly matching an optimization problem to a specific optimization algorithm that performs well on that problem. For this to be possible, knowledge of both …

Predictive exoskeleton control based on probabilistic models

Author(s): Marko Jamšek (Author), Jan Babič (Supervisor)

Year: 2022

Type: Doctoral dissertation

Research and development of exoskeletons for injury prevention and assistance with everyday living has steadily increased in the last decade. With some products already available on the market, a widespread adoption of exoskeletons appears to be within close reach. However, many challenges still remain to be overcome, one of which …

Optimization and application of MeV time-of-flight secondary ion mass spectrometry in the standard and low primary ion beam energy mode

Author(s): Marko Barac (Author), Zdravko Siketić (Supervisor), Janez Kovač (Co-Supervisor)

Year: 2022

Type: Doctoral dissertation

Time-of-flight secondary ion mass spectrometry using MeV ions (MeV ToF SIMS) has been around for a few decades as a reliable, surface-sensitive method for the detection of molecular ions having masses up to 1000 Da. It provides excellent lateral resolution of a few μm for imaging of organic samples, making …

Alkali-activated steel slag-based materials

Author(s): Mark Češnovar (Author), Vilma Ducman (Supervisor), Srečo Davor Škapin (Co-Supervisor)

Year: 2022

Type: Doctoral dissertation

Alkali activation is a chemical process in which aluminosilicate-rich materials that dissolve in basic media at room temperature form binding phases by polycondensation. Alkali-activated materials (AAM), also called geopolymers, are inorganic aluminosilicate-based materials produced mainly from fly ashes and metallurgical slags or clays with high Al and Si content and …

Development and application of molecularly imprinted polymers for selected antidepressants and studies of their environmental fate

Author(s): Tjaša Gornik (Author), Tina Kosjek (Supervisor), Ester Heath (Co-Supervisor)

Year: 2022

Type: Doctoral dissertation

This thesis focuses on the fate of chosen antidepressants in the environment. Studied compounds belong to the class of selective serotonin reuptake inhibitors. Reportedly they do not completely mineralize by existing water treatment processes and their residues cause unwanted toxic effects in aquatic organisms. However, to date, insufficient information has …

Lead magnesium niobate titanate thick films prepared by aerosol deposition method

Author(s): Matej Šadl (Author), Hana Uršič Nemevšek (Supervisor)

Year: 2022

Type: Doctoral dissertation

The miniaturization of electronic devices requires the fabrication of functional components in the form of μm-sized thick films. Some of the most promising functional materials are relaxor-ferroelectric (1-x)Pb(Mg1/3Nb2/3)O3–xPbTiO3 (PMN–100xPT), as they exhibit versatile dielectric, piezoelectric and relaxor-ferroelectric properties. However, the integration of functional ceramic thick films with non-conventional substrates such …

Exploiting domain knowledge in predictive learning from food and nutrition data

Author(s): Gordana Ispirova (Author), Barbara Koroušić Seljak (Supervisor), Tome Eftimov (Co-Supervisor)

Year: 2022

Type: Doctoral dissertation

Human knowledge about food and nutrition has evolved drastically with time. With food and nutrition-related data being mass produced and easily accessible, the next step is to use Artificial Intelligence (AI) to translate data into knowledge. The majority of AI research is model-driven, and classical Machine Learning (ML) pipelines concentrate …

Synthesis and properties of anodically oxidised films on metal titanium substrate for photocatalytic applications

Author(s): Živa Marinko (Author), Miran Čeh (Supervisor)

Year: 2022

Type: Doctoral dissertation

The link between TiO2 and photocatalysis was recognized a long time ago. However, there was originally no scientific knowledge relating to the process of photocatalysis. Given this, it is impressive that the most significant advances in the properties of TiO2 in photocatalytic processes have been made since the first reports …

Electrochemically synthesised polyaniline for gas and aqueous detection of ammonia

Author(s): Anja Korent (Author), Kristina Žužek (Supervisor)

Year: 2022

Type: Doctoral dissertation

An everyday awareness of the presence of harmful chemicals around us has led to the development of a way to report overexposure through the reactions of these compounds with specifically prepared materials - sensory elements. In this doctoral dissertation we focused on the electrochemical synthesis (electropolymerization) of conductive polymer polyaniline …