Evidence map›Paper›PMID 40881982›Full record

ArticleDigital discovery2025

Comparative analysis of search approaches to discover donor molecules for organic solar cells.

Mohammed Azzouzi, Steven Bennett, Victor Posligua, Roberto Bondesan, Martijn A Zwijnenburg, Kim E Jelfs

Abstract read
In one paragraph

Article in Digital discovery, 2025. 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

6 authors.

Mohammed AzzouziDepartment of Chemistry, Imperial College London White City Campus W12 0BZ London UK K.jelfs@imperial.ac.uk.ORCID https://orcid.org/0000-0001-5190-9984
Steven BennettDepartment of Chemistry, Imperial College London White City Campus W12 0BZ London UK K.jelfs@imperial.ac.uk.ORCID https://orcid.org/0000-0001-6285-910X
Victor PosliguaDepartment of Chemistry, Imperial College London White City Campus W12 0BZ London UK K.jelfs@imperial.ac.uk.ORCID https://orcid.org/0000-0003-3375-3706
Roberto BondesanDepartment of Computing, Imperial College London London SW7 2AZ UK.ORCID https://orcid.org/0009-0000-8184-304X
Martijn A ZwijnenburgDepartment of Chemistry, University College London 20 Gordon Street London WC1H 0AJ UK.ORCID https://orcid.org/0000-0001-5291-2130
Kim E JelfsDepartment of Chemistry, Imperial College London White City Campus W12 0BZ London UK K.jelfs@imperial.ac.uk.ORCID https://orcid.org/0000-0001-7683-7630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying organic molecules with desirable properties from the extensive chemical space can be challenging, particularly when property evaluation methods are time-consuming and resource-intensive. In this study, we illustrate this challenge by exploring the chemical space of large oligomers, constructed from monomeric building blocks, for potential use in organic photovoltaics (OPV). For this purpose, we developed a python package to search the chemical space using a building block approach:

Identifiers

PMID40881982
PMCPMC12379869

What OpenQuestion holds

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LicenceCC BY
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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.