@article{6fdef046841647198c3206f6db8bb727,
title = "Computational description of key spectroscopic features of zeolite SSZ-13",
abstract = "The catalytic properties of zeolites are intimately linked to the distribution and relative positions of Al atoms and defects in the pore network. However, characterizing this distribution is challenging, in particular when different local Al arrangements are considered. In this contribution we use a combination of first principles calculations and experimental measurements to develop a model for the Al-distribution in protonated SSZ-13. We furthermore apply this model to understand trends in OH-IR, 27Al-NMR and 29Si-NMR spectra. We use a Boltzmann distribution to predict the proton position for a given local Al configuration and show that for each configuration several H positions are occupied. Therefore a multi-peak spectrum in OH-IR vibrational spectroscopy is observed for all Al configurations, which is in line with experimentally measured spectra for zeolites at different Si/Al ratios. From NMR spectroscopy we find that the proton position leads to significant shifts in 27Al-NMR and 29Si-NMR spectra due to the modification of the local strain, which is lost when a uniform background charge is introduced. These findings are supported by experimental measurements. Finally we discuss the shortcomings of the presented model in terms of unit cell size and the impact of adjacent unit cells.",
author = "Florian G{\"o}ltl and Love, {Alyssa M.} and Schuenzel, {Sarah C.} and Patrick Wolf and Manos Mavrikakis and Ive Hermans",
note = "Funding Information: F. G{\"o}ltl and M. Mavrikakis acknowledge support from the National Science Foundation, grant number CHE-1800284. The authors acknowledge computational time at the National Energy Research Scientific Computing Center (NERSC), a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy, contract DE-AC02-05CH11231, under Project No. mp-351 and Phoenix Supercomputer, which is supported in part by National Science Foundation Grant CHE-0840494. This research was in part performed using the computing resources and assistance of the UW-Madison Center for High Throughput Computing (CHTC) in the Department of Computer Sciences. The CHTC is supported by UW-Madison, the Advanced Computing Initiative, the Wisconsin Alumni Research Foundation, the Wisconsin Institutes for Discovery, and the National Science Foundation, and is an active member of the Open Science Grid, which is supported by the National Science Foundation and the U.S. Department of Energy{\textquoteright}s Office of Science. This study made use of the National Magnetic Resonance Facility at Madison, which is supported by NIH grant P41GM103399 (NIGMS), old number: P41RR002301. Equipment was purchased with funds from the University of Wisconsin– Madison, the NIH P41GM103399, S10RR02781, S10RR08438, S10RR023438, S10RR025062, S10RR029220, the NSF (DBI-8415048, OIA-9977486, DBI-9214394), and the USDA. NMR studies were supported by funds from NIH shared instrumentation grant S10RR027000 and the University of Wisconsin–Madison. Publisher Copyright: {\textcopyright} 2019 the Owner Societies.",
year = "2019",
doi = "10.1039/c9cp03146d",
language = "English (US)",
volume = "21",
pages = "19065--19075",
journal = "Physical Chemistry Chemical Physics",
issn = "1463-9076",
publisher = "Royal Society of Chemistry",
number = "35",
}