Evidence map›Paper›PMID 42898668›Full record

ArticleRSC advances2026

From molecular design to high performance: interpreting the combined effect of π-linkers and acceptor groups in benzotriazole-based non-fullerene acceptors.

Komal Ateeq, Muhammad Kamran Shehzad, Yasir Altaf, Maaz Ur Rehman, Rabia Bassran, Muhammad Farhan Waris, Fahim Ahmed, Farasat Haider, Basit Ali

Abstract read
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Article in RSC advances, 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

9 authors.

Komal AteeqDepartment of Chemistry, Division of Science and Technology, University of Education Lahore 54770 Pakistan.
Muhammad Kamran ShehzadSchool of Materials Science and Engineering, Hefei University of Technology Hefei 230009 China.
Yasir AltafDepartment of Chemistry, Division of Science and Technology, University of Education Lahore 54770 Pakistan.ORCID https://orcid.org/0000-0001-7509-6500
Maaz Ur RehmanDepartment of Chemistry, Division of Science and Technology, University of Education Lahore 54770 Pakistan.
Rabia BassranDepartment of Chemistry, Division of Science and Technology, University of Education Lahore 54770 Pakistan.
Muhammad Farhan WarisDepartment of Chemistry, Division of Science and Technology, University of Education Lahore 54770 Pakistan.ORCID https://orcid.org/0009-0009-0787-0635
Fahim AhmedDepartment of Physics, University of Sargodha 40100 Sargodha Pakistan.ORCID https://orcid.org/0000-0001-5530-9492
Farasat HaiderInternational Graduate School of Nanoscience and Technology, College of Interdisciplinary and Integrative Studies, Chulalongkorn University Bangkok 10330 Thailand.
Basit AliDepartment of Chemistry and Materials Science, School of Chemical Engineering, Aalto University P.O. Box 16100 FI-00076 Aalto Finland basit.ali@aalto.fi.ORCID https://orcid.org/0000-0002-6272-486X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combined effect of π-linkers and terminal groups presents a powerful yet underexplored strategy for boosting the performance of benzotriazole (BZ)-based non-fullerene acceptors (NFAs). In this computational study, we employ density functional theory (DFT) and time-dependent DFT (TD-DFT) to design and evaluate the photovoltaic performance of five benzotriazole (BZ)-core-based non-fullerene small molecule acceptors (BD1-BD5). These molecules are engineered by modifying the terminal acceptor groups of a reference structure (BZE-31) and incorporating a methyl thieno[3,4-

Identifiers

PMID42898668
PMCPMC13678501

What OpenQuestion holds

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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.