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 mean-field or perturbative approximations.

Students can contribute to conceptual method development, applications in material simulations and/or code implementation. 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 with dynamical mean-field theory DMFT and beyond
Extending neural-network configuration interaction (NNCI) within SOLAX
Performing material scouting with Density Functional Theory
Developing numerical and visualization tools in Python for SOLAX

For currently hot 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