ArticleChemical science2022
Machine learning accelerated high-throughput screening of zeolites for the selective adsorption of xylene isomers.
Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
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Who cites it
4 citing papers in PubMed.
- Zeolites and Zeolite-Based Materials at the Biointerface: From Haemostasis and Biomolecule Separation to Theranostic Applications.Molecules (Basel, Switzerland) · 2026Review
- Harnessing confinement effect and interpretable machine learning to predict alkane diffusion in zeolite catalysts.Nature communications · 2026Article
- Machine Learning-Based Predictions of Henry Coefficients for Long-Chain Alkanes in One-Dimensional Zeolites: Application to Hydroisomerization.The journal of physical chemistry. C, Nanomaterials and interfaces · 2025Article
- Theory guided engineering of zeolite adsorbents for acaricide residue adsorption from the environment.Journal of molecular modeling · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The production of widely used polymers such as polyester currently relies upon the chemical separation of and transformation of xylene isomers. The least valuable but most prevalent isomer is
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Registered trials
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