Mayr Felix

Mayr Felix is a researcher at the Associate Professorship Simulation of Nanosystems for Energy Conversion at the Technical University of Munich (TUM) within the TUM School of Computation, Information and Technology. His work focuses on computational materials science and machine learning for energy applications.

• Research Interests: Machine learning algorithms, metal-organic frameworks (MOFs), perovskite materials, electrocatalysis, and multiscale modeling. His studies emphasize adsorption mechanisms, charge distribution, and materials discovery for energy conversion.
• Publications Trends: Recent work explores adsorption site optimization through novel algorithms, partial charge prediction in MOFs using active learning, and machine learning applications for analyzing perovskite stability and catalytic activity.
• Collaborations: Active in DFG e-Conversion Clusters and TUM Innovation Network ARTEMIS, focusing on solid-solid interfaces and multiscale simulations.
• Contact: Email felix.mayr@tum.de or visit the TUM campus in Garching, Germany.