Dr. Jürgen Fuhrmann

Deputy Head, WIAS Research Group Numerical Mathematics and Scientific Computing

Weierstraß-Institut für Angewandte Analysis und Stochastikugd642mF
Mohrenstr 39
10117 Berlin
+49 (0) 30 20372 560

Research focus

Numerical Mathematics
Semiconductor Device Simulation

Projects as a project leader

  • CH11

    Sensing with Nanopores

    Dr. Jürgen Fuhrmann / Dr. Clemens Guhlke

    Project heads: Dr. Jürgen Fuhrmann / Dr. Clemens Guhlke
    Project members: -
    Duration: -
    Status: running
    Located at: Weierstraß-Institut


    Sensing with nanopores is a promising new technology to analyze macromolecules like DNA strands by low cost/high speed measurements. The sensing device is constructed based on a nanopore embedded into a membrane which separates two electrodes. The system is filled with an electrolyte containing macromolecules to be analyzed. An electric potential is applied to the electrodes and induces an ionic current through the pore. Sensing is based on the observation that this ionic current is influenced by the geometrical configurations of the pore and of the macromolecules positioned within the pore. Under controlled movement of the macromolecule through the pore a characteristic time dependent current signal is generated, which is correlated to the structure of the pore and the macromolecule. Therefore nanopores can be used to count and even to characterize macromolecules in an electrolytic solution.

  • SE-AP4

    Perspectives for rechargeable Mg/air batteries

    Dr. Jürgen Fuhrmann

    Project heads: Dr. Jürgen Fuhrmann
    Project members: Dr. Alexander Linke
    Duration: 01.06.2013 - 30.11.2016
    Status: completed
    Located at: Weierstraß-Institut


    The project aims at the development of macroscopic models for coupled flow and reaction processes in magnesium air batteries and in experimental electochemical cells to investigate its components. On this basis numerical simulation tools are developed to run calculations that support the experiments performed within the joint research project. The development of models and the simulations shall facilitate a deeper understanding of subprocesses and their interrelationship.