Cited by 182Machine Learning in Materials ScienceZeolite Catalysis and SynthesisCrystal Structures and Properties

Computational Discovery of New Zeolite-Like Materials

Deem, Michael W., Pophale, Ramdas, Cheeseman, Phillip A., Earl, David J.·2009·The Journal of Physical Chemistry C

Abstract

We present a database of computationally predicted zeolite-like materials. The materials were identified by a Monte Carlo search of Si atom positions as the number of unique atoms, density, space group, and unit cell of the crystalline material was systematically explored. Over 2.7M unique structures were identified, with roughly 10% within the +30 kJ/mol Si energetic band above α-quartz in which the known zeolites lie. Predicted structures within this band have geometric and topological characteristics similar to that of the known zeolites. Known zeolites are shown to lie on the low-density edge of the distribution of predicted structures. Dielectric constants and X-ray powder diffraction patterns are calculated. Strategies for chemical synthesis of these materials are discussed, a low-density subset of the materials is identified as particularly interesting, and the complementarity of these materials to high-throughput methods is discussed. These structures have been deposited in two publicly available databases.

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Crossref · 10.1021/jp906984z

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Authors
Deem, M. W., Pophale, R., Cheeseman, P. A., & Earl, D. J.
Affiliations
University of Pittsburgh (US)
Corresponding author
Deem, Michael W.
Venue
The Journal of Physical Chemistry C
Published
2009-10-09
Volume
113
Issue
51
Pages
21353-21360
ISSN
  • 1932-7447 (ISSN-L)
  • 1932-7455
OpenAlex
W1987921156
Cited by
182
References
32
Citations by year
2026: 9 · 2025: 10 · 2024: 10 · 2023: 10 · 2022: 8 · 2021: 12 · 2020: 10 · 2019: 16 · 2018: 12 · 2017: 10 · 2016: 8 · 2015: 11 · 2014: 10 · 2013: 18 · 2012: 11
FWCI
4.51
Type
journal article
Language
en
Open access
closed
Locations
The Journal of Physical Chemistry C (publishedVersion)
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Chemistry › Inorganic Chemistry › Zeolite Catalysis and Synthesis
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Crystal Structures and Properties
Keywords
zeolite-like materials, computational materials discovery, alpha-quartz, dielectric constant, X-ray powder diffraction patterns, high-throughput methods, crystal structure database

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