Evidence map›Paper›PMID 37143908›Full record

ArticleRSC advances2023

Full-dimensional neural network potential energy surface and dynamics of the CH

Hao Wu, Yanlin Fu, Wenrui Dong, Bina Fu, Dong H Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2023. 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

5 authors.

Hao WuState Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical and Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China bina@dicp.ac.cn.ORCID https://orcid.org/0000-0003-1518-9291
Yanlin FuState Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical and Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China bina@dicp.ac.cn.ORCID https://orcid.org/0000-0001-5507-7361
Wenrui DongState Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical and Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China bina@dicp.ac.cn.ORCID https://orcid.org/0000-0002-3640-1821
Bina FuState Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical and Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China bina@dicp.ac.cn.ORCID https://orcid.org/0000-0003-1568-0259
Dong H ZhangState Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical and Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China bina@dicp.ac.cn.ORCID https://orcid.org/0000-0001-9426-8822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An accurate global full-dimensional machine learning-based potential energy surface (PES) of the simplest Criegee intermediate (CH

Identifiers

PMID37143908
PMCPMC10153484

What OpenQuestion holds

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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.