Collaborative Research Center 1333

Molecular Heterogeneous Catalysis
in Confined Geometries

A04 – ML potentials for confined catalytic steps in OM2S

Prof. Dr. Blazej Grabowski
Prof. Dr. Blazej Grabowski
University of Stuttgart
Dr. Lifang Zhu
Dr. Lifang Zhu
University of Stuttgart
Portrait image not available for Dr. Yuji Ikeda
Dr. Yuji Ikeda
University of Stuttgart
Schächtel Tom
Schächtel Tom
University of Stuttgart

Holistic modelling of confined elementary catalytic steps in ordered mesoporous (metallo)-silicates using ab initio-based machine-learning interatomic potentials

We propose developing machine-learning interatomic potentials (MLIPs) based on density functional theory to efficiently yet accurately simulate catalytic steps under confinement. We build on the expertise gained during the second funding period, in which we mastered the synthesis and characterization of ordered mesoporous (metallo)-silicates both experimentally and through simulation. The planned simulations will facilitate a detailed, mechanistic understanding of confined catalysis at the atomic scale, including the interaction of the catalyst with the pore wall.

Research focus in the first funding period (2018-2022): Controlled synthesis of mesoporous silica materials
Former PIs: Prof. Dr. Frank Gießelmann, Prof. Dr. Yvonne Traa

Research focus in the second funding period (2022-2026):Mesoporous metallo-silicates with defined electronic and geometric properties: A combined experiment-theory approach
Former PIs: Dr. Johanna Bruckner
Production of tailor-made ordered mesoporous metallo-silicates (OM2S) for optimized catalytic applications, as well as creation of a profound understanding of their electronic structure and resulting properties.

Comparative study of lattice parameter and pore size of ordered mesoporous silica materials using physisorption, SAXS measurements and transmission electron microscopy

A.-K. Beurer, S. Dieterich, H. Solodenko, E. Kaya, N. Merdanoǧlu, G. Schmitz, Y. Traa and J. R. Bruckner
Microporous Mesoporous Mater. 2023, 354, 112508.

The publication can be downloaded free of charge and without registration until May 11, 2023 via the following link: https://authors.elsevier.com/a/1gnb54xQ964rdP