معرفی
Prof. Michael Eikerling is a Professor at the Institute of Energy Technologies (IET) of Forschungszentrum Jülich, leading the group "Theory and computational modeling of materials in energy engineering (IET-3)". His research focuses on computational modeling of electrochemical interfaces, fuel cell materials, and energy storage systems. Key areas include proton exchange membrane (PEM) fuel cells, ionomer-catalyst interactions, and degradation mechanisms in electrochemical devices.
He holds a doctoral degree (Dr. rer. nat.) and has authored over 100 publications since 2021, with a strong emphasis on
- electrocatalysis,
- computational fluid dynamics,
- quantum annealing for battery optimization,
- and impedance spectroscopy diagnostics.
His work bridges theoretical models (e.g., variational functional theory) with experimental validation, addressing challenges like water management in PEMFCs and stability of electrocatalysts. Recent projects include developing AI-driven tools for materials analysis (UTILE framework) and investigating high-entropy solid electrolytes for all-solid-state batteries.
Michael collaborates across disciplines, integrating computational chemistry, materials science, and engineering to advance clean energy technologies. His group's expertise spans from atomistic simulations to large-scale device modeling.
