Machine learning for analyzing and predicting porous structures
Technologies for hydrogen economy including fuel cells, electrolysis and synthetic fuel production
RESEARCH DETAILS
We explore advanced energy conversion technologies, focusing on fuel synthesis, electrolysis, and fuel cells. By studying catalytic porous structures and their impact on performance and degradation, we aim to improve energy conversion systems. We also apply machine learning to analyze and optimize 3D porous materials, driving innovation in sustainable energy solutions.
Porous materials for producing synthetic fuels and hydrogen economy