Evidence map›Paper›PMID 35459976›Full record

ArticleJournal of molecular modeling2022

Efficient designing of half-moon-shaped chalcogen heterocycles as non-fullerene acceptors for organic solar cells.

Muhammad Yasir Mehboob, Riaz Hussain, Muhammad Usman Khan, Muhammad Adnan, Muhammad Usman Alvi, Junaid Yaqoob, Muhammad Khalid

Abstract read
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Article in Journal of molecular modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

10 citing papers in PubMed, 43 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Muhammad Yasir MehboobDepartment of Chemistry, University of Okara, Okara, 56300, Pakistan. yasirbhatti587@gmail.com.ORCID http://orcid.org/0000-0002-7143-1129
Riaz HussainDepartment of Chemistry, University of Okara, Okara, 56300, Pakistan. riazhussain@uo.edu.pk.
Muhammad Usman KhanDepartment of Chemistry, University of Okara, Okara, 56300, Pakistan. usman.chemistry@gmail.com.
Muhammad AdnanGraduate School of Energy Science and Technology, Chungnam National University, 34134, Daejeon, Republic of Korea.
Muhammad Usman AlviDepartment of Chemistry, University of Okara, Okara, 56300, Pakistan.
Junaid YaqoobDepartment of Chemistry, University of Okara, Okara, 56300, Pakistan.
Muhammad KhalidDepartment of Chemistry, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, 64200, Pakistan.
University of Okara · PKChungnam National University · KRKhwaja Fareed University of Engineering and Information Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One key strategy to further improve the power conversion efficiency (PCE) of organic solar cells (OSCs) is to incorporate various complementary functional groups in a molecule. Such strategies proved attractive for tuning the photovoltaic performances of the materials and can show a much higher absorption phenomenon with narrower band gaps. Despite the outstanding benefits, materials selection and their efficient modeling is also an extremely challenging job for the development of OSCs materials. In this manuscript, we proficiently developed an efficient series of small molecule-based non-fullerene acceptors (SM-NFAs) SN1-SN9 for OSCs and characterized by density functional theory (DFT) and time-dependent DFT (TD-DFT). The characteristics required to estimate electron and hole mobility, and open-circuit voltage (V

Indexed as

End-capped modificationsHalf-moon-shaped designingNon-fullerene acceptorsOrganic solar cellsPower conversion efficiency

Identifiers

PMID35459976
OpenAlexW4224234022

What OpenQuestion holds

Textmetadata
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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.