Evidence map›Paper›PMID 41089599›Full record

ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2025

Machine Learning-Based Predictions of Henry Coefficients for Long-Chain Alkanes in One-Dimensional Zeolites: Application to Hydroisomerization.

Shrinjay Sharma, Ping Yang, Yachan Liu, Kevin Rossi, Peng Bai, Marcello S Rigutto, Erik Zuidema, Umang Agarwal, Richard Baur, Sofia Calero and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 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. Article
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

12 authors.

Shrinjay SharmaProcess and Energy Department, Faculty of Mechanical Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands.ORCID https://orcid.org/0000-0001-8345-7433
Ping YangDepartment of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.ORCID https://orcid.org/0000-0003-0105-6172
Yachan LiuDepartment of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.
Kevin RossiDepartment of Materials Science and Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Mekelweg 2, 2628CD Delft, The Netherlands.
Peng BaiDepartment of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.ORCID https://orcid.org/0000-0002-6881-4663
Marcello S RiguttoShell Global Solutions International B.V., Grasweg 39, 1031HW Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-3671-3446
Erik ZuidemaShell Global Solutions International B.V., Grasweg 39, 1031HW Amsterdam, The Netherlands.
Umang AgarwalShell Chemical LP, Monaca, Pennsylvania 15061, United States.ORCID https://orcid.org/0000-0002-5182-3141
Richard BaurShell Global Solutions International B.V., Grasweg 39, 1031HW Amsterdam, The Netherlands.
Sofia CaleroDepartment of Applied Physics and Science Education, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0001-9535-057X
David DubbeldamVan't Hoff Institute of Molecular Sciences, University of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-4382-1509
Thijs J H VlugtProcess and Energy Department, Faculty of Mechanical Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands.ORCID https://orcid.org/0000-0003-3059-8712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shape-selective adsorption in zeolites plays a pivotal role in catalytic hydroisomerization of long-chain alkanes, a key process in producing sustainable aviation fuels from Fischer-Tropsch products. Accurately predicting adsorption behavior for the large number of alkane isomers in different zeolite frameworks is computationally intensive. To address this, we have developed a machine learning framework that rapidly and accurately predicts Henry coefficients of linear (C

Identifiers

PMID41089599
PMCPMC12516733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.