Artificial Intelligence decodes catalyst performance based on "materials genes of catalysis" which encode crucial material properties. Researchers from NOMAD, FHI Berlin and BasCat have proposed a new approach for modeling...
With ultrashort X-ray laser pulses, a research team involving the UniSysCat groups of Athina Zouni & Holger Dobbek gained important new insights into the function of photosystem II, a key catalytic system in photosynthesis.
UniSysCat researchers Shuang Li and Arne Thomas present highly active single-atom catalysts based on inexpensive and durable materials. Their approach is a great step towards more efficient electrochemical water splitting.
Four UniSysCat groups and one Einstein visiting fellow applied in a proof of concept study a new experimental setup for the characterization of reaction intermediates in [NiFe] hydrogenase, which was chosen as hot paper.
A team featuring the UniSysCat groups of Walid Hetaba, Reinhard Schomäcker and Arne Thomas successfully synthesized multifunctional catalysts with a controllable distance between their active sites - a key goal of UniSysCat.