Evidence map›Paper›PMID 38911834›Full record

ArticleRSC advances2024

Reparameterization of GFN1-xTB for atmospheric molecular clusters: applications to multi-acid-multi-base systems.

Yosef Knattrup, Jakub Kubečka, Haide Wu, Frank Jensen, Jonas Elm

Abstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Optimizing Extended Tight-Binding Methods for Metal-Surface Interactions.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025
    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

5 authors.

Yosef KnattrupDepartment of Chemistry, Aarhus University Langelandsgade 140, Aarhus C 8000 Denmark jelm@chem.au.dk +45 28938085.ORCID https://orcid.org/0000-0003-3549-7494
Jakub KubečkaDepartment of Chemistry, Aarhus University Langelandsgade 140, Aarhus C 8000 Denmark jelm@chem.au.dk +45 28938085.ORCID https://orcid.org/0000-0002-8002-0911
Haide WuDepartment of Chemistry, Aarhus University Langelandsgade 140, Aarhus C 8000 Denmark jelm@chem.au.dk +45 28938085.ORCID https://orcid.org/0000-0002-3669-8776
Frank JensenDepartment of Chemistry, Aarhus University Langelandsgade 140, Aarhus C 8000 Denmark jelm@chem.au.dk +45 28938085.ORCID https://orcid.org/0000-0002-4576-5838
Jonas ElmDepartment of Chemistry, Aarhus University Langelandsgade 140, Aarhus C 8000 Denmark jelm@chem.au.dk +45 28938085.ORCID https://orcid.org/0000-0003-3736-4329

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atmospheric molecular clusters, the onset of secondary aerosol formation, are a major part of the current uncertainty in modern climate models. Quantum chemical (QC) methods are usually employed in a funneling approach to identify the lowest free energy cluster structures. However, the funneling approach highly depends on the accuracy of low-cost methods to ensure that important low-lying minima are not missed. Here we present a reparameterized GFN1-xTB model based on the clusteromics I-V datasets for studying atmospheric molecular clusters (AMC), denoted AMC-xTB. The AMC-xTB model reduces the mean of electronic binding energy errors from 7-11.8 kcal mol

Identifiers

PMID38911834
PMCPMC11191700

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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.