27Al NMR chemical shifts in zeolite MFI via machine learning acceleration of structure sampling and shift prediction. Researchers from the Department have successfully deployed machine learning-based methods to predict 27Al …
Big news! Our faculty has just started installing a state-of-the-art Focus Ion Beam - Scanning Electron Microscope! This top-tier tech will open up incredible possibilities, giving us unprecedented detail and …
Polyelectrolyte solutions and gels Coarse-grained simulations Mean-field and Poisson-Boltzmann modeling pH-dependent properties Collaborators: Christian Holm (Stuttgart) Peter Košovan
Solution behavior of anionic boron cluster compounds Physicochemical properties of boron cluster conjugates Synthesis of surfactants and polymers with attached boron clusters Pavel Matějíček, Mariusz Uchman
Project supervisor Ing. Jan Přech, Ph.D. Zeolites are robust and environmentally friendly heterogeneous catalysts. They contain framework metal ions, which act as Bronsted or Lewis acid sites. In particular, the …
