Student projects

Browse all posts in the Student projects category.

13 to 18 of 69

01APR 2026
Ongoing student projects
MA: Development and characterisation of photonic thin films in the near-infrared spectrum for trapped ion quantum computing
Lena Heller — Project type: Master’s thesis — Status: Ongoing — Contact:
Read more about MA: Development and characterisation of photonic thin films in the near-infrared spectrum for trapped ion quantum computing
31MAR 2026
Completed 2026
MA: Electrical characterization and comparative analysis of MAGFET designs in a 4H-SiC CMOS technology
Pedram Sarmadi — This thesis presents a systematic electrical characterization of n- and p-type split-drain MAGFETs fabricated in a 4H-SiC CMOS technology developed at Fraunhofer IISB. The study quantifies key sensor metrics under variations of device geometry, electrical biasing and temperature. Measurements include operation without magnetic field, under a static permanent magnetic field, and after […]Pedram Sarmadi — This thesis presents a systematic electrical characterization of n- and p-type split-drain MAGFETs fabricated in a 4H-SiC CMOS technology developed at Fraunhofer IISB. The study quantifies key sensor metrics under variations of device geometry, electrical biasing and temperature. Measurements include operation without magnetic field, under a static permanent magnetic field, and after […]
Read more about MA: Electrical characterization and comparative analysis of MAGFET designs in a 4H-SiC CMOS technology
02MAR 2026
Completed 2026
MA: Investigation of correlations between process data, test structure properties and device caracteristics of MOSFETs via machine learning models
Zhifeng Huang — In recent years, artificial intelligence (AI) technologies such as machine learning have developed rapidly. The decrease in computing cost provides a potentially efficient solution for monitoring, analyzing, and predicting key parameters of metal-oxide-semiconductor fieldeffect transistors (MOSFETs).Based on this development, this work investigates a method that uses a random forest regressor model to […]Zhifeng Huang — In recent years, artificial intelligence (AI) technologies such as machine learning have developed rapidly. The decrease in computing cost provides a potentially efficient solution for monitoring, analyzing, and predicting key parameters of metal-oxide-semiconductor fieldeffect transistors (MOSFETs).Based on this development, this work investigates a method that uses a random forest regressor model to […]
Read more about MA: Investigation of correlations between process data, test structure properties and device caracteristics of MOSFETs via machine learning models
01MAR 2026
Completed 2026
FA: Characterization of SiC thin films on SiO₂/Si substrates before and after thermal post-treatment
Tobias Eilender — Project type: Student research project — Status: Completed — Contact:
Read more about FA: Characterization of SiC thin films on SiO₂/Si substrates before and after thermal post-treatment
27FEB 2026
Ongoing student projects
MA: Temperature-Dependent Dissolution of GaN under matched Ammonothermal Conditions – gravimetric analysis utilizing capsules with high thermal conductivity
Maitri Bharatbhai Savani – Nitride semiconductors, as wide-bandgap semiconductors, playing an increasingly Owing to their wide bandgap characteristics, nitride semiconductors are increasingly important as substrate materials for power electronic devices. Ammonothermal crystal growth is a promising growth method for gallium nitride (GaN). The advantage of this method is the ability to produce crystals with very […]Maitri Bharatbhai Savani – Nitride semiconductors, as wide-bandgap semiconductors, playing an increasingly Owing to their wide bandgap characteristics, nitride semiconductors are increasingly important as substrate materials for power electronic devices. Ammonothermal crystal growth is a promising growth method for gallium nitride (GaN). The advantage of this method is the ability to produce crystals with very […]
Read more about MA: Temperature-Dependent Dissolution of GaN under matched Ammonothermal Conditions – gravimetric analysis utilizing capsules with high thermal conductivity
09FEB 2026
Completed 2026
BA: Optimization of cooling processes in crystal growth
Daniel-Sebastian Nastasa — This work develops a simulation-based framework for optimizing cooling processes in crystal growth. A two-dimensional, axisymmetric FEM model (scikit-fem) for transient heat conduction with Dirichlet/Neumann boundary conditions and a coupled thermoelastic stress computation (Hooke’s law, Cauchy stress) are employed. The underlying program originates from Jesse Schardjin’s master’s thesis and was extended in […]Daniel-Sebastian Nastasa — This work develops a simulation-based framework for optimizing cooling processes in crystal growth. A two-dimensional, axisymmetric FEM model (scikit-fem) for transient heat conduction with Dirichlet/Neumann boundary conditions and a coupled thermoelastic stress computation (Hooke’s law, Cauchy stress) are employed. The underlying program originates from Jesse Schardjin’s master’s thesis and was extended in […]
Read more about BA: Optimization of cooling processes in crystal growth