title: Can Dynamics Be Responsible for the Complex Multipeak Infrared Spectra of NO Adsorbed to Copper(II) Sites in Zeolites?
abstract: Copper-exchanged SSZ-13 is a very efficient material in the selective catalytic reduction of NO(x) using ammonia (deNO(x)-SCR) and characterizing the underlying distribution of copper sites in the material is of prime importance to understand its activity. The IR spectrum of NO adsorbed to divalent copper sites are modeled using ab initio molecular dynamics simulations. For most sites, complex multi-peak spectra induced by the thermal motion of the cation as well as the adsorbate are found. A finite temperature spectrum for a specific catalyst was constructed, which shows excellent agreement with previously reported data. Additionally these findings allow active and inactive species in deNO(x)-SCR to be identified. To the best of our knowledge, this is the first time such complex spectra for single molecules adsorbed to single active centers have been reported in heterogeneous catalysis, and we expect similar effects to be important in a large number of systems with mobile active centers.
authors.affiliation: University of Wisconsin-Madison, Department of Chemistry, 1101 University Avenue, 53706 Madison, WI (USA). fgoeltl@chem.wisc.edu.
authors.forename: Florian
authors.initials: F
authors.lastname: Göltl
authors.affiliation: Université de Lyon, CNRS, Ecole Normale Supérieure de Lyon, Laboratoire de Chimie, 46 Allée d'Italie, F-69342 Lyon Cedex 07 (France).
authors.forename: Philippe
authors.initials: P
authors.lastname: Sautet
authors.affiliation: University of Wisconsin-Madison, Department of Chemistry, 1101 University Avenue, 53706 Madison, WI (USA). hermans@chem.wisc.edu.|University of Wisconsin-Madison, Department of Chemical and Biological Engineering, 1415 Engineering Drive, 53706 Madison, WI (USA). hermans@chem.wisc.edu.
authors.forename: Ive
authors.initials: I
authors.lastname: Hermans
keywords: IR spectroscopy; SSZ-13; copper zeolites; heterogeneous catalysis; molecular dynamics