News

BayBatt member Prof Dr Johannes Margraf and a team of scientists have developed a promising method to improve the efficiency of electrocatalysts. Using simulations and artificial intelligence, the researchers have developed a computer program that can simultaneously optimise several properties of the catalyst. The results have now been published in the Journal of the American Chemical Society.

High entropy alloys (HEAs) are a promising type of material for electrocatalysis. Electrocatalysis is a process in which certain materials help to accelerate chemical reactions that take place in batteries or fuel cells. Unlike conventional metal catalysts, these materials consist of a mixture of many elements. As a result, they have a very complex structure and could therefore have better catalytic properties in electrolysers and fuel cells. However, it is difficult for researchers to find the best mixture of elements for a specific application.

Read the complete press release by the University of Bayreuth here.