Selecting strong Brønsted acid zeolites through screening from a database of hypothetical frameworks

Literature Information

Publication Date 2017-05-10
DOI 10.1039/C7CP01778B
Impact Factor 3.676
Authors

Taku Matsuoka, Laurent Baumes, Naonobu Katada, Abhijit Chatterjee, German Sastre


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Abstract

The database of prospective zeolites (http://www.hypotheticalzeolites.net) has been screened in search of feasible zeolites with the condition of having at least one strong Brønsted site. Several criteria of zeolite feasibility have been tested using energetic and structural concepts, allowing a fast elimination of unsuitable candidates. Based on improved definitions to count and enumerate rings in zeolites, Brønsted acidity has been assessed in a fast albeit inaccurate way, by calculating a structural descriptor related to ammonia desorption energy. In each zeolite, the value of this descriptor was calculated for all the possible centres where a Brønsted acid site can be located. Ranking each zeolite through the value of the strongest candidate acid site allowed obtaining a selection of potentially strong acid zeolites. With further selection criteria, a final short list of 12 structures was obtained, where accurate calculations using periodic DFT indicate that 6 of them must contain a Brønsted site of very strong acidity.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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