Evidence map›Paper›PMID 41472667›Full record

ArticleChemistry of materials : a publication of the American Chemical Society2025

Lessons from Failed Attempts of Computationally Guided Synthesis of Aluminosilicate STF and IFR Zeolites in Hydroxide Media.

Omer F Altundal, Maria Galvez-Llompart, Angel Cantin, José Valero, Susana Valencia, Fernando Rey, Kingsley Christian Kemp, Suk Bong Hong, Frits Daeyaert, German Sastre

Abstract read
In one paragraph

Article in Chemistry of materials : a publication of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Omer F AltundalInstituto de Tecnología Química UPV-CSIC, Universidad Politécnica de Valencia, Valencia 46022, Spain.
Maria Galvez-LlompartMolecular Topology and Drug Design Unit. Faculty of Pharmacy and Food Sciences, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, University of Valencia, Valencia 46100, Spain.ORCID https://orcid.org/0000-0002-0718-4143
Angel CantinInstituto de Tecnología Química UPV-CSIC, Universidad Politécnica de Valencia, Valencia 46022, Spain.
José ValeroInstituto de Tecnología Química UPV-CSIC, Universidad Politécnica de Valencia, Valencia 46022, Spain.
Susana ValenciaInstituto de Tecnología Química UPV-CSIC, Universidad Politécnica de Valencia, Valencia 46022, Spain.ORCID https://orcid.org/0000-0001-7160-2795
Fernando ReyInstituto de Tecnología Química UPV-CSIC, Universidad Politécnica de Valencia, Valencia 46022, Spain.ORCID https://orcid.org/0000-0003-3227-5669
Kingsley Christian KempCenter for Ordered Nanoporous Materials Synthesis, Division of Environmental Science and Engineering, POSTECH, Pohang 37673, South Korea.ORCID https://orcid.org/0000-0002-1478-3515
Suk Bong HongCenter for Ordered Nanoporous Materials Synthesis, Division of Environmental Science and Engineering, POSTECH, Pohang 37673, South Korea.ORCID https://orcid.org/0000-0002-2855-1600
Frits DaeyaertSynopsisDeNovoDesign, Beerse 2340, Belgium.
German SastreInstituto de Tecnología Química UPV-CSIC, Universidad Politécnica de Valencia, Valencia 46022, Spain.ORCID https://orcid.org/0000-0003-0496-6331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although zeolites are primarily aluminosilicates in terms of chemical composition, not all zeotypes have been successfully synthesized as aluminosilicates to date. This study aims to contribute answering the long-standing question of why some zeotypes cannot, or have not yet been, synthesized as aluminosilicates, using a computational approach that combines big data, artificial intelligence, accurate descriptors, and an algorithm for designing quaternary ammonium organic structure-directing agents (OSDAs) that help lower the total energy of the zeolite-OSDA system. The use of the synthesis energy descriptor enables evaluation of the reaction energy from gel monomers to the final zeolite product, including the occluded OSDA, while also accounting for the energetic contributions of framework aluminum, representing an improvement over previous models based on pure silica. The focus is on STF and IFR zeolites, whose synthesis in hydroxide media typically results in products with very high silicon to aluminum ratios. More than 10000 OSDAs, either designed or retrieved from existing databases, were evaluated under conditions likely to favor the formation of STF or IFR, and the corresponding synthesis energies were calculated for STF, IFR, and approximately 20 other competing zeolite phases. The computational results show that AEI, CHA, and a few other zeolites are consistently more energetically favorable, regardless of the OSDA used. This is explained by the increasing stability of phases as the aluminum content increases. Experimental synthesis using a shortlist of OSDAs predicted to favor STF or IFR, in addition to AEI or CHA, did not yield the expected aluminosilicate products, and instead, amorphous materials were obtained in most cases. While further refinement of computational tools is needed to better reflect experimental synthesis conditions, the results provide valuable insight and justification for the difficulty of synthesizing aluminosilicate STF and IFR in hydroxide media.

Identifiers

PMID41472667
PMCPMC12747119

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.