Benedikt Prifling

Dr. Benedikt Prifling is a Lecturer at Ulm University, specializing in computational materials science and electrochemistry. His research integrates advanced tomography, stochastic modeling, and machine learning to optimize materials for energy storage, particularly lithium-ion batteries.

Research Focus: Prifling investigates microstructure-property relationships in porous media and battery electrodes. Key themes include:

• 3D microstructure modeling of battery components (anodes/cathodes)
• Synchrotron tomography for quantitative analysis of degradation
• Stochastic reconstruction of porous materials
• Data-driven prediction of mass transport phenomena

His recent publications (2020-2024) demonstrate a strong emphasis on improving battery performance through computational design, manufacturing optimization, and electrochemical characterization. Common methodologies include lattice Boltzmann simulations, statistical learning, and digital twin generation.