Evidence map›Paper›PMID 41697001›Full record

ArticleEnvironmental science & technology2026

Modeling Radiative Efficiency across Fluorinated Molecules: Bridging Chemistry and Climate Policy for Global Warming Potential Estimations.

Luís P Viegas, Matilde A Susano

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. 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. 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.

Luís P ViegasCoimbra Chemistry Centre-Institute of Molecular Sciences (CQC-IMS), Department of Chemistry, University of Coimbra, Coimbra 3004-535, Portugal.ORCID 0000-0003-2312-990X
Matilde A SusanoCoimbra Chemistry Centre-Institute of Molecular Sciences (CQC-IMS), Department of Chemistry, University of Coimbra, Coimbra 3004-535, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of the climate impact of fluorinated compounds is crucial for guiding regulatory decisions and mitigating global warming. We present a novel methodology for calculating the radiative efficiency of diverse fluorinated molecules with minimized error, adaptable to any electronic structure method and basis set. By incorporating full conformer populations and three scaling parameters, we approximate the experimental infrared spectra more effectively, enhancing the reliability of our predictions. The optimization of vibrational frequencies and intensities for a diverse data set of 38 fluorinated compounds enables us to refine radiative efficiency calculations and seamlessly integrate them into our lifetime calculating protocol. We obtain theoretical global warming potential (GWP) values with well-defined error bars, offering a significant improvement over existing computational methods. This enhanced framework provides a powerful tool for assessing the climate effects of fluorinated compounds, aligning with the objectives of the Kigali Amendment to the Montreal Protocol. By delivering robust and reliable GWP estimates, our methodology informs policy decisions on the phasedown of high-GWP hydrofluorocarbons and the search for sustainable alternatives. Our findings contribute to advancing theoretical approaches for quantifying radiative forcing, supporting global efforts to mitigate anthropogenic climate change.

Indexed as

Global WarmingClimate ChangeModels, Theoreticalfluorinated compoundsglobal warming potentialinfrared scaling parametersKigali Amendmentradiative efficiency

Identifiers

PMID41697001
PMCPMC12961741

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.