Evidence map›Paper›PMID 41457695›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Tuning Pore Size in Porous Graphene Membrane for O

Kuang-Jung Hsu, Marina Micari, Yueqing Shen, Shaoxian Li, Shuqing Song, Kumar Varoon Agrawal

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Tuning Pore Size in Porous Graphene Membrane for OAdvanced materials (Deerfield Beach, Fla.) · 2026
    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

6 authors.

Kuang-Jung HsuLaboratory of Advanced Separations, École Polytechnique Fédérale de Lausanne (EPFL), Sion, Switzerland.
Marina MicariLaboratory of Advanced Separations, École Polytechnique Fédérale de Lausanne (EPFL), Sion, Switzerland.
Yueqing ShenLaboratory of Advanced Separations, École Polytechnique Fédérale de Lausanne (EPFL), Sion, Switzerland.
Shaoxian LiLaboratory of Advanced Separations, École Polytechnique Fédérale de Lausanne (EPFL), Sion, Switzerland.
Shuqing SongLaboratory of Advanced Separations, École Polytechnique Fédérale de Lausanne (EPFL), Sion, Switzerland.
Kumar Varoon AgrawalLaboratory of Advanced Separations, École Polytechnique Fédérale de Lausanne (EPFL), Sion, Switzerland.ORCID https://orcid.org/0000-0002-5170-6412

Funding

European Research Council Starting Grant 805437-UltimateMembranesfundingAgency fundRefName="École Polytechnique Fédérale de Lausanne" funderDoi="10.13039/501100001703">EPFLNational Science Foundation Assistant Professor Energy PYAPP2_173645Swiss National Foundation Project 200021_192005
6 · The paper itself

Abstract

Graphene with angstrom-scale, zero-dimensional pores offers a promising platform for gas separations due to its exceptional permeance and potential for molecular sieving. Herein, we demonstrate a dynamic strategy to tune N-functionalized graphene pores, achieving selective oxygen (O

Indexed as

gas separationmembranesO2/N2 separationporous graphene

Identifiers

PMID41457695
PMCPMC12910542

What OpenQuestion holds

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LicenceCC BY
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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.