Cited by 175Zeolite Catalysis and SynthesisMachine Learning in Materials ScienceMetal-Organic Frameworks: Synthesis and Applications

A priori control of zeolite phase competition and intergrowth with high-throughput simulations

Open access
Schwalbe-Koda, Daniel, Kwon, Soonhyoung, Paris, Cecilia, Bello-Jurado, Estefania, Jensen, Zach, Olivetti, Elsa, Willhammar, Tom, Corma, Avelino +3 more·2021·Science

Abstract

Selectivity control in zeolite synthesis: Zeolites are widely used in many industrial applications, but despite decades of research, their synthesis still relies on trial-and-error approaches. Complex nucleation mechanisms and topological diversity lead to strong phase competition, complicating the issue of rational design of zeolite synthesis. Using atomistic simulations, literature mining, human-computer interaction, synthesis, and characterization, Schwalbe-Koda et al . developed a computational strategy that enables a priori control of phase selectivity in zeolite synthesis (see the Perspective by Chaikittisilp and Okubo). This approach uses several metrics for designing organic structure–directing agents to crystallize target zeolites with controlled phase competition and intergrowth. These results may have profound implications for the materials science community if this method is shown to be successful in the synthesis of practically useful uncommon zeolites. —YS

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Crossref · 10.1126/science.abh3350

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  • Recent advances in data mining and artificial intelligence have allowed computational prediction to some extent of which OSDAs may lead to the crystallization of targeted zeolite structures.

    “In this sense, recent advances in data mining and artificial intelligence have allowed us to computationally predict to some extent which OSDAs may lead to the crystallization of targeted zeolite structures.97,99,101”
  • The rational design of OSDAs in the search for particular zeolites has given good results in some cases.

    “However, the rational design of OSDAs in the search for particular zeolites has given good results in some cases.57,97−100”

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Authors
Schwalbe-Koda, D., Kwon, S., Paris, C., Bello-Jurado, E., Jensen, Z., Olivetti, E., Willhammar, T., Corma, A., Román-Leshkov, Y., Moliner, M., & Gómez-Bombarelli, R.
Affiliations
  • Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Massachusetts Institute of Technology (US)
  • Consejo Superior de Investigaciones Científicas (ES)
  • Instituto de Tecnología Química, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, 46022 Valencia, Spain.
  • Stockholm University (SE)
  • Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Corresponding author
Moliner, Manuel
Venue
Science
Published
2021-10-15
Volume
374
Issue
6565
Pages
308-315
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3199631386
Cited by
175
References
4
Citations by year
2026: 23 · 2025: 35 · 2024: 33 · 2023: 38 · 2022: 38 · 2021: 8
FWCI
9.47
Type
journal article
Language
en
Open access
Licence
cc-by-nc-sa
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
  • RiuNet (Universitat Politècnica de València) (submittedVersion, cc-by)
Funders
  • National Science Foundation (1922372, 1922311, 1922090)
  • U.S. Department of Defense (N000142012280)
  • Ministerio de Ciencia, Innovación y Universidades (RTI2018-101033- B-I00, SEV 2016-0683, PRE2019-088360, RTI2018)
  • Vetenskapsrådet
  • National Defense Science and Engineering Graduate
  • Agencia Estatal de Investigación (SEV-2016-0683, RTI2018-101033-B-I00)
  • Office of Naval Research (N00014-20-1-2280, N00014-20, N00014)
Topics
  • Physical Sciences › Chemistry › Inorganic Chemistry › Zeolite Catalysis and Synthesis
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Chemistry › Inorganic Chemistry › Metal-Organic Frameworks: Synthesis and Applications
Keywords
zeolite synthesis, phase competition, zeolite intergrowth, structure-directing agent, template molecules, aluminum distribution, synthetic accessibility, literature mining, human-computer interaction

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