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Experimental and theoretical study of multi-quantum vibrational excitation: NO(v=0 -> 1,2,3) in collisions with Au(111).

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Kandratsenka,  A.
Research Group of Reaction Dynamics, MPI for biophysical chemistry, Max Planck Society;

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Auerbach,  D. J.
Department of Dynamics at Surfaces, MPI for biophysical chemistry, Max Planck Society;

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Wodtke,  A. M.
Department of Dynamics at Surfaces, MPI for biophysical chemistry, Max Planck Society;

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Citation

Golibrzuch, K., Kandratsenka, A., Rahinov, I., Cooper, R., Auerbach, D. J., Wodtke, A. M., et al. (2013). Experimental and theoretical study of multi-quantum vibrational excitation: NO(v=0 -> 1,2,3) in collisions with Au(111). The Journal of Physical Chemistry A, 117(32), 7091-7101. doi:10.1021/jp400313b.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-5FDA-E
Abstract
We measured absolute probabilities for vibrational excitation of NO(v = 0) molecules in collisions with a Au(111) surface at an incidence energy of translation of 0.4 eV and surface temperatures between 300 and 1100 K. In addition to previously reported excitation to v = 1 and v = 2, we observed excitation to v = 3. The excitation probabilities exhibit an Arrhenius dependence on surface temperature, indicating that the dominant excitation mechanism is nonadiabatic coupling to electron hole pairs. The experimental data are analyzed in terms of a recently introduced kinetic model, which was extended to include four vibrational states. We describe a subpopulation decomposition of the kinetic model, which allows us to examine vibrational population transfer pathways. The analysis indicates that sequential pathways (v = 0 -> 1 -> 2 and v = 0 -> 1 -> 2 -> 3) alone cannot adequately describe production of v = 2 or 3. In addition, we performed first-principles molecular dynamics calculations that incorporate electronically nonadiabatic dynamics via an independent electron surface hopping (IESH) algorithm, which requires as input an ab initio potential energy hypersurface (PES) and nonadiabatic coupling matrix elements, both obtained from density functional theory (DFT). While the LESH-based simulations reproduce the v = 1 data well, they slightly underestimate the excitation probabilities for v = 2, and they significantly underestimate those for v = 3. Furthermore, this implementation of IESH appears to overestimate the importance of sequential energy transfer pathways. We make several suggestions concerning ways to improve this IESH-based model.