Organic solar cells use conductive molecules/polymers to convert light into electric power. We develop mesoscopic device models to analyze the interplay of different material properties with the device performance. Input from atomistic calculations (DFT + Molecular Dynamics) in combination with Machine Learning supports the device models to bridge the atomic scale to the microscopic device level.

Covered Topics: Multiscale simulations, Polymer physics, Device modeling, Device engineering

Contact Person: Kashif Hussain, Waldemar Kaiser