Evidence map›Paper›PMID 39798024›Full record

ArticleJournal of fluorescence2025

Machine Learning Assisted Bithiophene Based Donor Acceptor Selection to Design New Fluoresent Dyes for Photovoltaic Applications.

Sadaf Noreen, Sajjad H Sumrra, Abrar U Hassan, Ayesha Mohyuddin, Hussein A K Kyhoiesh, Ashraf Y Elnaggar, Islam H El Azab, Mohamed H H Mahmoud

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2025. 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

8 authors.

Sadaf NoreenDepartment of Chemistry, University of Gujrat, Gujrat, 50700, Punjab, Pakistan.
Sajjad H SumrraDepartment of Chemistry, University of Gujrat, Gujrat, 50700, Punjab, Pakistan.
Abrar U HassanLu,Nan Research Institute of Beijing Institute of Technology, 888 Zhengtai Road, Tengzhou, 277599, China. hassanabrar2016@gmail.com.
Ayesha MohyuddinDepartment of Chemistry, University of Management and Technology Lahore, Johar Town, Lahore, C-II, 5476, Pakistan.
Hussein A K KyhoieshNational University of Science and Technology, Nasiriyah, 64001, Dhi-Qar, Iraq.
Ashraf Y ElnaggarDepartment of Food Sciences and Nutrition, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Islam H El AzabDepartment of Food Sciences and Nutrition, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Mohamed H H MahmoudDepartment of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.

Funding

Taif University TU-DSPP-2024-76
6 · The paper itself

Abstract

This study investigates the electronic properties and photovoltaic (PV) performance of newly designed bithiophene-based dyes, focusing on their light harvesting efficiency (LHE), open-circuit voltage (V

Indexed as

BithiopheneLight harvestingMachine learningPhotovoltaicSolar cells

Identifiers

PMID39798024

What Socratic holds

Textmetadata
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 Socratic graph.