Evidence map›Paper›PMID 40128213›Full record

ArticleScientific reports2025

Study on combustion reaction products and free radicals of aliphatic hydrocarbon functional groups in coal based on ML potential MD.

Jinzhang Jia, Yumo Wu, Dan Zhao, Fengxiao Wang, Dongming Wang, Qiang Yang, Yinghuan Xing

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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. High-Performance NHNanomaterials (Basel, Switzerland) · 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

7 authors.

Jinzhang JiaCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China.
Yumo WuCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China. 13614067811@163.com.
Dan ZhaoFaculty of Civil Engineering and Architecture, Zhanjiang University of Science and Technology, Zhanjiang, 524000, Guangdong, China.
Fengxiao WangCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China.
Dongming WangCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China.
Qiang YangCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China.
Yinghuan XingCollege of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning, 123000, China.

Funding

National Natural Science Foundation of China 52174183
6 · The paper itself

Abstract

The Gas-phase products generated by aliphatic hydrocarbon functional groups during the spontaneous combustion of coal represent a significant source of environmental pollution. A primary focus of contemporary research is the investigation of their microscopic reaction pathways and the dynamics of free radical transformations. This study examines the combustion and pyrolysis reaction mechanisms of three distinct aliphatic hydrocarbon functional groups utilising the Machine Learning Potential Molecular Dynamics (ML potential MD) method, with validation conducted through thermogravimetric-Fourier transform infrared spectroscopy (TG-FTIR) and in-situ FTIR experiments. The findings suggest that the reactivity of the ‒CH group is the highest, followed by ‒CH

Indexed as

Aliphatic hydrocarbonCoal spontaneous combustionFree radicalsGas-phase productsML potential MD

Identifiers

PMID40128213
PMCPMC11933334

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.