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Prof. Dr. Aliaksandr Bandarenka

Photo von Prof. Dr. Aliaksandr S. Bandarenka
+49 89 289-12531
PH: 3093
Page in TUMonline
Physics of Energy Conversion and Storage
Job Title
Professorship on Physics of Energy Conversion and Storage

Courses and Dates

Title and Module Assignment
Energy Materials 2
eLearning course
Assigned to modules:
VO 2 Bandarenka, A. Fri, 14:00–16:00, virtuell
Electrified Solid/Liquid Interfaces: from Theory to Applications
Assigned to modules:
HS 1 Bandarenka, A. Mon, 14:00–16:00, PH II 227
Energy Materials 2
Assigned to modules:
HS 2 Bandarenka, A. Fri, 10:00–12:00, PH 3734
Electrified Interfaces and Catalysis
Assigned to modules:
SE 2 Bandarenka, A. Wed, 13:00–15:00, PH 3076
FOPRA Experiment 22: Laser-Induced Current Transient Technique
Assigned to modules:
PR 1 Bandarenka, A.
Assisstants: Sarpey, T.
FOPRA Experiment 30: Electrocatalysis (Alkaline Water Electrolysis)
Assigned to modules:
PR 1 Bandarenka, A.
Assisstants: Garlyyev, B.
Revision Course to Energy Materials 2
Assigned to modules:
RE 2
Responsible/Coordination: Bandarenka, A.

Offered Bachelor’s or Master’s Theses Topics

Analysis of the impedance response of the anode and cathode materials for Li-ion batteries

Impedance spectroscopy (IS) is one of the most sensitive characterization techniques to obtain knowledge on batteries. This project aims to monitor the changes in the Li-ion cell caused by temperature, c-rate, cycle number, and different active material loading using IS. The main direction will be preparing of so-called half-cells by using anode or cathode active materials. Thereafter, you will monitor and analyze the impedance responses of the cells under different conditions and be able to explain the physics behind the impedance spectra.

This project will involve a literature review, coin cell sample preparation, glovebox usage, impedance spectroscopy, and battery testing.

suitable as
  • Bachelor’s Thesis Physics
Supervisor: Aliaksandr Bandarenka
Exploring renewable energy systems with laser induced current transient thechnique

The advent of ultrafast lasers has paved the way and eased the investigations of mechanisms and phenomena, which hitherto were difficult to interrogate or measure. One of such mechanisms is the kinetics of the electrified electrode-electrolyte interface. The laser induced current transient (LICT) technique has proven to be a robust, unique, and indispensable tool for predicting to a high degree of accuracy the activity of reactions by identifying the so-called potential of maximum entropy (PME). The PME is the potential at the interface at which the degree of disorder peaks. At the PME, the reaction should proceed faster than at potentials remote from it. Thus, one can anticipate that the closer the PME is to the thermodynamic equilibrium potential of an electrocatalytic reaction, the faster the kinetics of this reaction should be. By employing the LICT technique, the PME measured at the electrode-electrolyte interface (i.e., Au polycrystalline electrode and Ar-saturated Na2SO4 electrolyte at a pH of 8) has been reported to be 0.58 V vs RHE. However, using Ar-saturated K2SO4 at the same pH yielded a PME value of 1.30 V vs RHE. Therefore, it is our considered view that this presents a stupendous opportunity to tailor the cation mixture of Na+ and K+ as electrolyte to obtain a PME value of 1.23 V vs RHE, the thermodynamic equilibrium potential of the oxygen reduction reaction (ORR). Hence, this presents the leeway for optimizing the activity towards the ORR via the tuning of the electrolyte cation concentration.

suitable as
  • Master’s Thesis Condensed Matter Physics
Supervisor: Aliaksandr Bandarenka
Finding Active Sites on Fuel Cell Catalysts with Scanning Tunneling Microscopy
Currently, one of the main goals of our society is to reduce carbon emissions to stop the global temperature increase. A popular approach is to use hydrogen as a fuel as it would provide a sustainable and worldwide accessible energy system based on abundant resources and zero-emission. For the dream of a hydrogen economy to become reality, suitable and high-performing catalysts have to be identified and developed. Commonly, theoretical models and calculations are employed to gather information on the geometric structure of an optimal catalyst and its active sites. In our group, we use an experimental technique based on conventional scanning tunneling microscopy (STM) to in-situ identify active sites. The resulting insights can help to develop catalytic materials with optimal shapes and sizes and reduce the amount of rare materials needed for the construction of e.g. fuel cells, metal-air batteries, or electrolyzers. The content of this experimental Master thesis is to apply the STM technique on different systems and to ideally achieve atomic resolution. A current collaboration will try to link our STM approach to machine learning for a more efficient evaluation or even prediction of the data. Especially haptic sensitivity will be helpful in this work. If you’re interested, please send an e-mail with a short introduction of your person and scientific background. We’re looking forward to meeting you! Possible starting date: October 2021 or later Contact: Regina Kluge (
suitable as
  • Master’s Thesis Applied and Engineering Physics
Supervisor: Aliaksandr Bandarenka
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