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Topology-induced phenomena and caloric effects in condensed matter

Author(s): Dejvid Črešnar (Author), Zdravko Kutnjak (Supervisor), Brigita Rožič (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

The first part of the thesis deals with the impact of surface-functionalized nanoparticles (NP) can have on the stability of liquid crystal (LC) phases. Experimental data of NP concentration-driven phase transition between the isotropic and nematic phase in 5OO8 LCs were used to create a minimal mathematical model that would …

Computational modelling of information dynamics in children’s melody perception

Author(s): Lorena Mihelač (Author), Geraint A. Wiggins (Supervisor), Janez Povh (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

This thesis focuses on the information dynamics of children’s melody and, more specifically, on modeling children’s perception of melodic surface. The topic of children’s melody has not received much attention in the past, and there are currently no clear definitions of what exactly a “children’s melody” is. As neither children’s …

Simulation of approximated Gaussian process autoregressive models

Author(s): Tadej Krivec (Author), Juš Kocijan (Supervisor)

Year: 2023

Type: Doctoral dissertation

This thesis presents the simulation of approximated Gaussian process autoregressive models. Gaussian process models are a Bayesian nonparametric regression method, the main advantage of which is the quantification of uncertainty in closed-form. However, the closedform solution for the marginal likelihood results in a cubic computational complexity with respect to the …

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 …

Unravelling the molecular mechanisms of plant-pathogen interactions in grapevine and potato through functional analysis

Author(s): Špela Tomaž (Author), Anna Coll (Supervisor)

Year: 2022

Type: Doctoral dissertation

Plants are constantly exposed to various environmental stressors. Pathogen infections causing disease can affect economically important crops and impact global food production. To counter disease development and spread, it is imperative that we acquire a thorough knowledge of its pathogenesis, as well as of the mechanisms underlying plant immune response. …

Combining neural and symbolic representations in natural language processing

Author(s): Matej Martinc (Author), Senja Pollak (Supervisor)

Year: 2022

Type: Doctoral dissertation

The thesis addresses a novel representation learning framework, combining neural and symbolic text representations, and demonstrates its utility for tackling diverse natural language processing problems. The proposed approach, avoiding the deficiencies of purely symbolic and purely neural methods, can be applied for the generation of efficient text representations. Its usefulness …

Chirality and nanoparticles enforced stabilization of topological defects in liquid crystals

Author(s): Apparao Gudimalla (Author), Samo Kralj (Supervisor), Sabu Thomas (Co-Supervisor), Brigita Rožič (Co-Supervisor)

Year: 2021

Type: Doctoral dissertation

Of our main interest in this work is the stabilization of assemblies of topological defects (TDs) in liquid crystals (LCs). Due to the topological origin of TDs, the physics of defects is of interest for all branches of physics, including condensed matter systems, particle physics, and cosmology. LCs represent an …

In silico approaches to understand and predict the ligand-binding interactions of the human P-glycoprotein (ABCB1) membrane transporter

Author(s): Liadys Mora Lagares (Author), Marjana Novič (Supervisor), Emilio Benfenati (Co-Supervisor)

Year: 2021

Type: Doctoral dissertation

The P-glycoprotein (P-gp) is responsible for the elimination of a wide variety of substances from the cell, thus it is thought to play an important role in detoxification functions. The P-gp also affects the ADMET (absorption, distribution, metabolism, excretion, and toxicity in pharmacokinetics) properties of drugs. It is involved in …

Predicting the dynamics of spatio-temporal systems based on heterogeneous data sources

Author(s): Blaž Kažič (Author), Dunja Mladenić (Supervisor)

Year: 2021

Type: Doctoral dissertation

As urbanisation continues to be a trend, in which centralisation of the population into cities is still growing, the importance of intelligent solutions in mobility is in high demand. Likewise, with the integration of renewable energies into all levels of the electrical grid system and the increasing amount of heavy …

Defect chemistry and hardening of ferroelectric cobalt-doped bismuth ferrite ceramics: doctoral thesis

Author(s): Maja Makarovič (Author), Tadej Rojac (Supervisor), Sverre Magnus Selbach (Co-Supervisor)

Year: 2020

Type: Doctoral dissertation

Bismuth ferrite, BiFeO3 (BFO), has been recognized as a promising lead-free material for high-temperature piezoelectric applications due to its high Curie temperature of 825 °C. However, the practical use of BFO has been limited in particular by its elevated electrical conductivity. In addition, BFO shows the characteristics of ferroelectric hardening, …