Evidence map›Paper›PMID 40971766›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Inverse Design of Metal-Organic Frameworks for CH

Wenxuan Li, Xiaonan Zhang, Hao Guo, Lingchuan Li, Lifeng Ding, Qingyuan Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. Article
  2. Inverse Design of Metal-Organic Frameworks for CHAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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.

Wenxuan LiState Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Xiaonan ZhangState Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Hao GuoSchool of Chemical Engineering and Technology, Xinjiang University, Urumchi, 830017, China.
Lingchuan LiState Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Lifeng DingDepartment of Chemistry and Materials Science, Advanced Materials Research Center, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, 215123, China.
Qingyuan YangState Key Laboratory of Organic-Inorganic Composites, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.ORCID https://orcid.org/0000-0001-6961-2855

Funding

National Key Research and Development Program of China 2021YFB3802200National Natural Science Foundation of China 22078004Xi'an Jiaotong-Liverpool University Research Development Fund FOSA2306005
6 · The paper itself

Abstract

Metal-organic frameworks (MOFs) have emerged as promising candidates for gas separation, yet the vastness of their structural design space renders experimental screening prohibitively time- and resource-intensive. Recent advances in machine learning (ML) technology offer powerful alternatives for accelerating MOF discovery through data-driven prediction. In this work, a high-accuracy ML model with a Tangent Adaptive Genetic Algorithm (TAGA) is integrated to enable inverse design of MOFs for CH

Indexed as

CH4/N2 separationgenetic algorithmsinverse designmachine learningmetal‐organic frameworks

Identifiers

PMID40971766
PMCPMC12697905

What OpenQuestion holds

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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.