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Abstract
Predictive catalyst design relies on establishing fundamental structure-property relationships that effectively translates atomic-scale geometries and their electronic structure into macroscopic measurables like activity, selectivity, and stability. The current framework demonstrates how binding energies of complex reaction intermediates can be linked to simple descriptors from which predictive activity, selectivity, and stability maps can be constructed. This conventional picture oftentimes assumes static model surface architectures whereas catalysts under realistic reaction conditions undergo continuous structural evolution - including surface reconstruction, active-site remodeling, and phase transformations. In this presentation we shall bridge the gap between traditional static scaling relations and dynamic material behavior. By introducing a coordination and site-specific framework we show how surface dynamics can be incorporated into the descriptor framework and ultimately how local coordination environments govern both catalytic activity and materials durability.