Bachelor & Master Projects

We offer research projects at the interface of condensed matter theory, quantum chemistry, and machine learning. Our group explores how collective electronic behavior gives rise to emergent phenomena beyond the reach of effective single-particle theories like density functional theory (DFT) or Hartree–Fock approaches — including magnetism, superconductivity, and Mott physics in strongly correlated materials.

Students can contribute to both fundamental theory and computational modeling, developing and applying methods that go beyond mean-field descriptions. Typical projects involve implementing and analyzing quantum many-body models, working with Python-based simulation codes, and exploring neural network approaches to accelerate or enhance quantum calculations.

Depending on interest, projects may focus on:

Modeling correlated electron systems using lattice or impurity models
Extending neural-network configuration interaction (NNCI) methods for molecules and solids
Performing computational studies of emergent phases beyond standard DFT
Developing numerical and visualization tools in Python for quantum simulations

Our group combines conceptual physics with hands-on computational work in a collaborative environment.

For available topics and supervision details, please contact:
philipp.hansmann@fau.de

or feel free to talk to the younger members of our group in offices 00.503 and 00.504