| Research topics |
The research conducted in my group revolves around the production of green energy. This is a crucial topic due to the increasingly stringent CO2 emission standards, both from an ecological and economic standpoint. The work I'm involved in with my group is primarily computational in nature, and within the scope of our research grants, the key focus is on the electrocatalytic oxidation of methanol in Direct Methanol Fuel Cells (DMFC).
Fuel cells are a promising source of energy, given their high efficiency compared to internal combustion engines. Although they are not entirely zero-emission, the generated CO2 is the only byproduct, and it can be directly directed for utilization. The goal of my group's research is to design an optimal carrier for the active phase, aiming to achieve this through a thorough understanding of the fundamental physics of the catalytic phenomenon. This will enable us to use cheaper and more readily available materials for catalysts in the DMFC process.
I also aspire to delve into the synthesis of catalytic materials with desired properties. Zeolites are one such material characterized by a regular porous structure, in which crystal networks I would like to incorporate transitional metal cations. Such materials could pave the way for selective photocatalysis.
Finally, we are entering the realm of artificial intelligence and machine learning, which we aim to leverage for studying catalytic systems. Currently, my group is actively working on designing new molecules of metal-organic complexes and predicting their properties.
In our research, we employ computational chemistry methods, utilizing the most efficient supercomputers in Poland (or, if necessary, in Europe). We collaborate with other research groups, mainly at TU Delft (Netherlands) and UAveiro (Portugal), and thanks to funding from the COST initiative, we have the opportunity to finance short internships in other research centers.
|