Evidence map›Paper›PMID 42080014›Full record

ArticleChemical science2026

Singlet machine learning photodynamics reveal competing inversion paths of methylated cyclooctatetrathiophene.

Christian Salguero, Steven A Lopez

Abstract read
In one paragraph

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

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

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

2 authors.

Christian SalgueroDepartment of Chemistry and Chemical Biology, Northeastern University Boston Massachusetts 02115 USA s.lopez@northeastern.edu.ORCID https://orcid.org/0000-0002-7684-7705
Steven A LopezDepartment of Chemistry and Chemical Biology, Northeastern University Boston Massachusetts 02115 USA s.lopez@northeastern.edu.ORCID https://orcid.org/0000-0002-8418-3638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used state-of-the-art machine-learning nonadiabatic molecular dynamics to investigate the stereochemical inversion reaction of a methylated thiophene-fused cyclooctatetraene derivative, MeCOTh. Minimum energy path calculations suggest that the steepest descent path on the S

Identifiers

PMID42080014
PMCPMC13133733

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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.