Master's thesis projects




You can find all available student projects offered on advanced level below.
For projects on Bachelor level, please visit our Swedish webpage.

Master's thesis projects 2020/2021 

Ab initio modelling of small polarons in mixed halide perovskites ​
Analysis of the microstructure of cemented carbide materials​​
Assessing the effect of surface nitrogen on the water-splitting reaction on BiVO4
Bayesian models for understanding zeolite catalysis​
Bethe ansatz solution for interacting fermions
Building batteries from wood​​​
CALIFA Forward Endcap​

 CFD modelling of weld pool in GMAW - a study on the effect of chemical composition and welding parameters

Collective dynamics of autonomous robots in a complex environment​
Coupled Multi-Scale Modelling of Short Fiber Reinforced Composites​​
Creating supersolids with quantum gases​
Creating a reactive force field engine for materials physics simulations​​
Deep learning enriched micro-mechanical modelling of elasto-plastic behavior of short fiber reinforced composites​

Deep Learning for Particle Tracking​
Deep Learning for Optical Tweezers​
Developing parallization methods for kinetic Monte Carlo simulations​​
Electrical Impedance Spectroscopy and its applications​
Electromagnetic Metamaterials 
Fingerprint scanning using graphene transistors at terahertz frequency​​
Fission, FPGAs and VHDL
Frustule incorporation effect on efficiency of solar cells​​

Generating highly entangled microwave quantum states​
Handling calibration parameters​
Help us understand climate change all the way into space​​
High energy lithium-ion cells - test and characterization​
Identification of Material Parameters in Batteries​
Interaction effects in degenerate quantum gases​
Interaction effects in twisted bilayer graphene​​​
Inverse Design of Plasmonic Nanostructures​

Ion transport mechanism of salt-doped single-ion conducting polymer electrolytes​
Machine learning enhanced design of short fiber reinforced composites​

Machine learning for quantum error correction​​​​
Machine-learning models for molecular simulations​
Machine learning strategies to predict ion transport through a porous Structural Battery Electrolyte​​
Master projects at the Ultrafast Photonics laboratory, 2021​
Measure and model the electrochemical properties of Li-ion batteries​​
Measuring Photon Upconversion using an Integrating Sphere
Modelling Electrochemical Reactions in Swimming Pool Water​​
Optical characterization of sprays from advanced fuel injection systems​​
Optimization of electroplated bond pads for flip-chip devices​

Passive Radar for aircraft detection​​

Predicting the Cancer Tumor Position in a Liver Using Finite Element Analysis (FEA) and Artificial Intelligence (AI)​

Samurai Monte Carlo​​
Self-consistent phonons and more​
Sensitized Molecular Switches (30 or 60 credits)​
Simulation of AlGaN tunnel junctions​​​​

Single Nanoparticle Characterization in Catalysis​

Sputtered AlN layers for UV and nonlinear photonics​
Studies of water’s influence on conductivity and structure for polymer-salt-H2O systems​
Study of the bone quality in critical size bone defects by birefringence imaging​
Supersymmetry in Optics​​

Systematic investigation of the effect of complex flow fields on nanocellulose suspensions by birefringence imaging​

Systematic investigation of the solid state structure of pharmaceutical 

materials by small angle X-ray scattering (SAXS)​


Towards more efficient solar cells: modelling of band gaps of mixed halide perovskites​​​
Transport in nanostructures of strontium titanate​
Unveiling Na-ion storage mechanism in Na-ion batteries by operando Surface Plasmon Resonance spectroscopy​​
Quantum mechanical descriptions of chemical reactions​​
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Page manager Published: Wed 19 May 2021.