ERC Synergy Grant for research on chemical transformations

The INSIGHT project aims to accelerate this process. The scientists will develop a workflow that rapidly generates knowledge in catalysis. Building on their discovery of adaptive dynamic catalysis, where the physical state of a metal ion is maintained in its active form by external stimuli (light or electrons), they will integrate this approach with mass-spectrometry monitoring. This will enable the scientists to explore an unprecedented number of parameter permutations, identify successful reactions, and gather kinetic data, which will inform theoretical models and provide deep insights into catalytic systems.

Roithová: ‘By analyzing complex reaction mixtures designed by Prof. König and examining all possible reaction pathways at the same time, we will generate a large amount of data for kinetic and theoretical modeling. Prof. Reiher will then use this data to train lifelong machine learning potentials that will accurately map the entire reaction network. With this approach, we aim to transform how new chemical reactions are studied and developed.