Evidence map›Paper›PMID 40747742›Full record

ArticleJournal of computational chemistry2025

Big-Data Analysis of Geometric Descriptors as Efficient Predictors of Energetic Stability in Nonplanar Polycyclic Aromatic Hydrocarbons.

Kasimir P Gregory, Amir Karton

Abstract read
In one paragraph

Article in Journal of computational chemistry, 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. 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

2 authors.

Kasimir P GregorySchool of Science and Technology, University of New England, Armidale, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8055-370X
Amir KartonSchool of Science and Technology, University of New England, Armidale, New South Wales, Australia.ORCID https://orcid.org/0000-0002-7981-508X

Funding

National Computational Infrastructure NCMAS-2024-51
6 · The paper itself

Abstract

Accurate, efficient stability predictors are essential for understanding isomer formation in polycyclic aromatic hydrocarbons (PAHs), with implications for pollution toxicity and carbon-material design, holding broad environmental and technological significance. Recently, a benchmark study demonstrated that PBE0-D4 reproduces CCSD(T)-level isomerization energies for 335 PAHs with a mean absolute deviation (MAD) of 0.67 kcal mol

Indexed as

CCSD(T)DFTG4(MP2)isomerization energiespolycyclic aromatic hydrocarbons

Identifiers

PMID40747742
PMCPMC12315058

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.