Felix Mayr

Felix Mayr is a researcher at the Technical University of Munich (TUM) under the Associate Professorship Simulation of Nanosystems for Energy Conversion in the TUM School of Computation, Information and Technology (SoCIT). His work focuses on computational materials science, particularly leveraging machine learning and density functional theory (DFT) for energy-related applications.

• Institution: Technical University of Munich
• Department: Simulation of Nanosystems for Energy Conversion

Research Interests: Mayr investigates materials for solar cells, electrocatalysis, and gas adsorption using machine learning, DFT, and multiscale modeling. Key projects include optimizing MOF interfaces for PFAS removal and developing algorithms for adsorption site identification.

Article Trends: His recent publications emphasize machine learning integration with materials science, targeting MOFs, perovskites, and electrocatalysts. Topics include PFAS remediation, charge prediction, and stability analysis.

Projects & Collaborations: Mayr contributes to DFG e-Conversion Clusters (I-III), TUM Innovation Network ARTEMIS, EU Lion-Hearted, and BMWi ptj PrOperPhotoMiLe SOLAR.ERANET.