Utilizing machine learning to enhance performance of thin-film solar cells based on Sb2(SxSe1−x)3: investigating the influence of material properties-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Utilizing machine learning to enhance performance of thin-film solar cells based on Sb₂(S_xSe_1−x)₃: investigating the influence of material properties

Published:2024 Issue:38 Volume:14 Page:27749-27763
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Khan Tanvir Mahtab¹,Saidani Okba²,Ahmed Sheikh Rashel Al¹^ORCID

Affiliation:

1. Department of Electrical, Electronic and Communication Engineering, Pabna University of Science and Technology, Pabna 6600, Bangladesh

2. ETA Laboratory, Department of Electronics, Faculty of Technology, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arréridj, 34000, Algeria

Abstract

Herein, SCAPS-1D is used to model a novel Cd-free Sb2(S,Se)3 TFSC. The proposed Sb2(S,Se)3 cell with Cu2O HTL and WS2 ETL reduces carrier recombination loss. An efficiency of 30.18% is obtained. This study also focuses on implementation of ML method.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/RA/D4RA03340J

Reference81 articles.

1. Efficient Inorganic-Organic Heterojunction Solar Cells Employing Sb2(Sx/Se1-x)3Graded-Composition Sensitizers

2. Front and Back contact engineering for high-efficient and low-cost hydrothermal derived Sb2(S, Se)3 solar cells by using FTO/SnO2 and carbon

3. Development of antimony sulfide–selenide Sb2(S, Se)3-based solar cells

4. Improved efficiency by insertion of Zn1−xMgxO through sol-gel method in ZnO/Sb2Se3 solar cell

5. Over 6% Certified Sb2 (S,Se)3 Solar Cells Fabricated via In Situ Hydrothermal Growth and Postselenization

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP