Evidence map›Paper›PMID 38550986›Full record

ReviewiScience2024

Advances in nano sensors for monitoring and optimal performance enhancement in photovoltaic cells.

Th S Dhahi, Alaa Kamal Yousif Dafhalla, Omer Elsier Tayfour, Azath Mubarakali, Abdulrahman Saad Alqahtani, Amira Elsir Tayfour Ahmed, Mohamed Elshaikh Elobaid, Tijjani Adam, Subash C B Gopinath

RetractedAbstract readReviewRetracted Publication
In one paragraph

Review in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Th S DhahiElectronics Technical Department, Southern Technical University, Basra, Iraq.
Alaa Kamal Yousif DafhallaDepartment of Computer Engineering, College of Computer Science and engineering, University of Ha'il, Ha''il, Kingdom of Saudi Arabia.
Omer Elsier TayfourCollege of Computer Science, King Khalid University, Abha 61413, Kingdom of Saudi Arabia.
Azath MubarakaliCollege of computer science, King Khalid University, Abha, Kingdom of Saudi Arabia.
Abdulrahman Saad AlqahtaniCollege of Computing and Information Technology, University of Bisha, Bisha, Kingdom of Saudi Arabia.
Amira Elsir Tayfour AhmedKing Khalid University - Mohyel college for Science and Arts, Abha, Kingdom of Saudi Arabia.
Mohamed Elshaikh ElobaidFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis, Arau, Perlis 02600, Malaysia.
Tijjani AdamFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis, Arau, Perlis 02600, Malaysia.
Subash C B GopinathFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis, Arau Perlis 02600, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanosensors have gained significant attention in recent years for improving energy conversion and storage performance in solar cells. These nanosensors, typically made from nanoparticles or nanowires, can be embedded within the solar cell to monitor parameters like temperature and light intensity. By monitoring these parameters, nanosensors provide real-time feedback and control to optimize the efficiency and performance of the solar cell. They also play a role in detecting potential issues, such as defects, for proactive maintenance and troubleshooting. The integration of nanosensors in solar cells enables the development of smart energy systems, leading to increased power output, improved stability, and a longer lifespan of solar cells. The deployment of nanosensors in solar cells offer promising trajectory for advancing energy conversion, utilization, and storage capabilities. This review summarizes recent advances in nanosensors in solar cells, with a focus on the role they play in enhancing energy conversion, utilization, and storage performance.

Indexed as

Applied sciencesPhysics

Identifiers

PMID38550986
PMCPMC10972835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.