Computational Physics for Green Energy

The research group uses computer-aided modelling and numerical simulation to answer application-oriented research questions in the field of renewable energies. We work with our own and commercial software (e.g. COMSOL) and with experimental partners to develop reliable, efficient and valid models. The insights gained in this way help, for example, with ‘measurements’ in inaccessible locations (temperatures inside fuel cells), minimising experimental effort through prior estimates (layer thicknesses in the manufacture of OPVs) or optimal adaptation to changing environmental conditions (design of thermoelectric energy harvesters). 

Prof. Dr. rer. nat. Jan Lohbreier
University of Applied Sciences Nuremberg / Fakultät Angewandte Mathematik, Physik und Allgemeinwissenschaften
  • energy harvesters
  • inductive energy transfer
  • power electronics
  • hydrogen fuel cells
  • batteries
  • electric motors
  • organic photovoltaics
  • modelling using CAD
  • numerical simulation (including FEM)
  • surrogate modelling (e.g. using machine learning methods)
  • physics-informed neural networks (PINNs)
  • workstations
  • AMP faculty compute cluster
  • access to HPC cluster at Erlangen Regional Computing Centre
  • contract research for coupled
  • physical multi-field simulation (e.g. thermal-mechanical, fluid mechanics-structural mechanics, electrodynamic-thermodynamic)

Research Projects