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The dependence on ammonia pretreatment of N−O activation by Co(II) sites in zeolites: a DFT and ab initio molecular dynamics study

Overview of attention for article published in Journal of Molecular Modeling, April 2017
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Title
The dependence on ammonia pretreatment of N−O activation by Co(II) sites in zeolites: a DFT and ab initio molecular dynamics study
Published in
Journal of Molecular Modeling, April 2017
DOI 10.1007/s00894-017-3322-z
Pubmed ID
Authors

E. Broclawik, K. Góra-Marek, M. Radoń, T. Bučko, A. Stępniewski

Abstract

This work is focused on the donor properties of cobalt-exchanged cationic sites in zeolites. It is based on cluster and periodic density functional theory modeling for relevant {[Co(II)(NH3)n]-NO} adducts, where Co(II) means a cobalt cation embedded either in a periodic model of chabasite (CHA) zeolite or in model clusters. NO stretching frequencies were derived from MD trajectories and compared to harmonic values from cluster calculations. By relating calculated NO frequencies to experimental FTIR spectra, it was shown that the forms of {Co(II)-NO} adducts comprising three or four ammonia co-ligands dominate the spectrum taken in ammonia-saturation conditions while forms with two NH3 ligands prevail under intermediate ammonia saturation. Finally, this work confirms the critical dependence of Co(II) activation ability towards NO upon the center donor properties, reinforced by ligation of strong donor ammonia ligands. However, strongly bound ligands appear also to compete with interaction of the center with the electron-rich framework, and a balance must be observed to maintain optimal activation ability. Graphical abstract A snapshot from MD trajectory showing a fragment of periodic framework with twoCo(II)-NO centers, bound to one framework oxygen and strongly coordinating three ammonia ligands with four others forming the second coordination sphere.

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Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 22%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Student > Doctoral Student 1 11%
Unknown 4 44%
Readers by discipline Count As %
Chemistry 4 44%
Nursing and Health Professions 1 11%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2017.
All research outputs
#20,032,544
of 24,619,747 outputs
Outputs from Journal of Molecular Modeling
#577
of 874 outputs
Outputs of similar age
#242,151
of 314,519 outputs
Outputs of similar age from Journal of Molecular Modeling
#14
of 22 outputs
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