Mohammed Darwish

Mohammed Darwish is a Researcher at the Technical University of Munich's School of Computation, Information and Technology, affiliated with the Associate Professorship for Simulation of Nanosystems for Energy Conversion under Prof. Alessio Gagliardi. His work operates within the Department of Electrical and Computer Engineering at the Department EI Building in Garching bei München.

His research focuses on computational modeling of organic electronic materials, specializing in drift-diffusion simulations, thin-film characterization, and energy conversion systems. Key methodologies include Density Functional Theory (DFT), Molecular Dynamics, and Machine Learning for Materials Predictions, with applications spanning organic solar cells, perovskite devices, and flexible electronics.

Analysis of his publication trends (2017-2019) reveals strong emphasis on charge transport mechanisms in organic semiconductors, particularly trap state characterization and low-conductance region mapping. His work bridges fundamental physics with practical device engineering, frequently employing multiscale modeling approaches to address energy conversion challenges.

Active research projects associated with his group include the DFG e-Conversion Cluster initiatives on solid-solid interfaces, TUM's ARTEMIS Innovation Network, and EU-funded programs like Lion-Hearted. The group maintains expertise in computational techniques spanning from ab initio methods to system-level simulations.