Evidence map›Paper›PMID 42867701›Full record

ArticleJournal of molecular modeling2026

GMUPC: a new package for global-minimum search of large uranyl peroxide clusters with machine learning potentials and DFT calculations.

Yu Cheng, Xin-Yu Dai, Shu-Wen Zhang, Yang-Yang Zhang

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Article in Journal of molecular modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yu ChengSchool of Rare Earths, University of Science and Technology of China, Hefei, 230026, China.
Xin-Yu DaiSchool of Rare Earths, University of Science and Technology of China, Hefei, 230026, China.
Shu-Wen ZhangSchool of Rare Earths, University of Science and Technology of China, Hefei, 230026, China.
Yang-Yang ZhangSchool of Rare Earths, University of Science and Technology of China, Hefei, 230026, China. yyzhang@gia.cas.cn.ORCID http://orcid.org/0000-0002-2055-6327

Funding

National Natural Science Foundation of China 22503106Natural Science Foundation of Jiangxi Province 20252BAC200032
6 · The paper itself

Abstract

contextThis study presents the development of the GMUPC package, which integrates machine learning potentials (MLPs) to efficiently and accurately identify the possible structures of fullerene-like uranyl peroxide U

methodsIn the present study, the geometrical structures of fullerene-like uranyl peroxide U

Indexed as

Global-minimumGMUPCMachine learning potentialStructureUranyl peroxide cluster

Identifiers

PMID42867701

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.