| INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Band engineering and recombination mechanisms in lead-free perovskite solar cells |
| Wei Liu(刘维)1, Tingxue Zhou(周庭雪)1, Liang Chu(楚亮)2,†, and Xing'ao Li(李兴鳌)1,‡ |
1 New Energy Technology Engineering Laboratory of Jiangsu Province & Institute of Advanced Materials & School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; 2 Institute of Carbon Neutrality and New Energy & School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China |
|
|
|
|
Abstract All-inorganic lead-free perovskite solar cells have emerged as environmentally benign candidates; however, their device performance is still constrained by pronounced carrier recombination losses in the bulk and at interfaces. By combining energy band alignment analysis with detailed modeling of recombination mechanisms, a systematic strategy for optimizing hole transport layers is developed. The results reveal that a negative valence band offset produces a cliff-like interface, which facilitates hole extraction while also accounting for the observed variations in open-circuit voltage. Furthermore, short-circuit current losses are quantitatively attributed to different recombination pathways, modeled by incorporating radiative, Shockley-Read-Hall, Auger, and interface recombination processes. This comprehensive approach not only clarifies the correlation between energy level alignment and recombination dynamics but also highlights the competing roles of band offset and interface defects in determining device performance. The optimized device architecture, based on Ge-based lead-free perovskites, achieves a power conversion efficiency of 25.1 %, with an open-circuit voltage of 1.29 V, a short-circuit current density of 22.5 mA$\cdot $cm$^{-2}$, and a fill factor of 86.3 %. These findings provide theoretical guidance for designing stable, high-performance, and environmentally friendly lead-free perovskite solar cells.
|
Received: 20 August 2025
Revised: 30 September 2025
Accepted manuscript online: 21 October 2025
|
|
PACS:
|
88.40.H-
|
(Solar cells (photovoltaics))
|
| |
88.40.hj
|
(Efficiency and performance of solar cells)
|
|
| Fund: This project was supported by the National Natural Science Foundation of China (Grant Nos. 52102165 and 62474056) and the Natural Science Foundation of Nanjing University of Posts and Telecommunications (Grant Nos. NY221029 and NY222165). |
Corresponding Authors:
Liang Chu, Xing'ao Li
E-mail: chuliang@hdu.edu.cn;lxahbmy@126.com
|
Cite this article:
Wei Liu(刘维), Tingxue Zhou(周庭雪), Liang Chu(楚亮), and Xing'ao Li(李兴鳌) Band engineering and recombination mechanisms in lead-free perovskite solar cells 2026 Chin. Phys. B 35 028801
|
[1] National Renewable Energy Labs (NREL), Best Research Cell Efficiencies Chart [2] Chung I, Lee B, He J, Chang R P H and Kanatzidis M G 2012 Nature 485 486 [3] Singh S, Laxmi and Kabra D 2020 J. Phys. D: Appl. Phys. 53 503003 [4] Li J,Wang H, Chin X Y, Dewi H A, Vergeer K, Goh TW, Lim J M, Lew J H, Loh K P, Soci C, Sum T C, Bolink H J, Mathews N, Mhaisalkar S and Bruno A 2020 Joule 4 1035 [5] Chen J and Park N G 2019 Adv. Mater. 31 1803019 [6] Liu Y, Akin S, Pan L, Uchida R, Arora N, Milic J V, Hinderhofer A, Schreiber F, Uhl A R, Zakeeruddin S M, Hagfeldt A, Dar M I and Gratzel M 2019 Sci. Adv. 5 eaaw2543 [7] Aydin E, De Bastiani M and De Wolf S 2019 Adv. Mater. 31 1900428 [8] Lin S, Zhang B, Lv T Y, Zheng J C, Pan H, Chen H, Lin C, Li X and Zhou J 2021 ACS Omega 6 26689 [9] Liu D, Li Q, Jing H and Wu K 2019 RSC Adv. 9 3279 [10] LiuW, Huang X, Li Q, Yao Q, Zhang D, Zhou T, Li X and Chu L 2025 Sci. China Mater. 68 3737 [11] Li B, Di H, Chang B, Yin R, Fu L, Zhang Y N and Yin L 2021 Adv. Funct. Mater. 31 2007447 [12] Duan C, Zou F, Wen Q, Qin M, Li J, Chen C, Lu X, Ding L and Yan K 2023 Adv. Mater. 35 2300503 [13] Chen M, Ju M G, Garces H F, Carl A D, Ono L K, Hawash Z, Zhang Y, Shen T, Qi Y, Grimm R L, Pacifici D, Zeng X C, Zhou Y and Padture N P 2019 Nat. Commun. 10 1 [14] Ju M G, Dai J, Ma L and Zeng X C 2017 J. Am. Chem. Soc. 139 8038 [15] Jiang M and Tang J 2021 J. Opt. Soc. Am. B 38 3754 [16] Shum K, Chen Z, Qureshi J, Yu C, Wang J J, Pfenninger W, Vockic N, Midgley J and Kenney J T 2010 Appl. Phys. Lett. 96 221903 [17] Salem M S, Shaker A, Othman M S, Al-Bagawia A H, Fedawy M and Aleid G M 2022 Opt. Mater. 123 111880 [18] Sobayel K, Akhtaruzzaman M, Rahman K S, FerdaousMT, Al-Mutairi Z A, Alharbi H F, Alharthi N H, Karim M R, Hasmady S and Amin N 2019 Results Phys. 12 1097 [19] Sarkar J, Talukdar A, Debnath P and Chatterjee S 2023 J. Comput. Electron. 22 1075 [20] Dubey K C, Srivastava A, Wadhwani N and Shukla R K 2025 J. Electron. Mater. 54 1851 [21] Burgelman M, Nollet P and Degrave S 2000 Thin Solid Films 361 527 [22] Zhou T, Huang X, Yao R, Zhang D, Liu W and Li X 2025 Adv. Theor. Simul. 8 2401064 [23] Wu B, Zhou Y, Xing G, Xu Q, Garces H F, Solanki A, Goh T W, Padture N P and Sum T C 2017 Adv. Funct. Mater. 27 1604818 [24] Tvingstedt K, Gil-Escrig Ln, Momblona C, Rieder P, Kiermasch D, Sessolo M, Baumann A, Bolink H J and Dyakonov V 2017 ACS Energy Lett. 2 424 [25] Krishnamoorthy T, Ding H, Yan C, Leong WL, Baikie T, Zhang Z, Sherburne M, Li S, Asta M, Mathews N and Mhaisalkar S G 2015 J. Mater. Chem. A 3 23829 [26] Ming W, Shi H and Du M H 2016 J. Mater. Chem. A 4 13852 [27] Kumar M H, Dharani S, Leong W L, Boix P P, Prabhakar R R, Baikie T, Shi C, Ding H, Ramesh R, Asta M, Graetzel M, Mhaisalkar S G and Mathews N 2014 Adv. Mater. 26 7122 [28] Johnston M B and Herz L M 2016 Acc. Chem. Res. 49 146 [29] Stolterfoht M, Grischek M, Caprioglio P,Wolff C M, Gutierrez-Partida E, Pena-Camargo F, Rothhardt D, Zhang S, Raoufi M, Wolansky J, Abdi-Jalebi M, Stranks S D, Albrecht S, Kirchartz T and Neher D 2020 Adv. Mater. 32 2000080 [30] Sarker S, Islam M T, Rauf A, Al Jame H, Jani M R, Ahsan S, Islam M S, Nishat S S, Shorowordi K M and Ahmed S 2021 Sol. Energy 225 471 [31] Braly I L, deQuilettes DW, Pazos-Outon L M, Burke S, ZifferME and Ginger D S 2018 Nat. Photonics 12 355 [32] Fu J, Xu Q, Han G, Wu B, Huan C A, Leek M L and Sum T C 2017 Nat. Commun. 8 1300 [33] Sze S M and Ng K K 2007 Physics of Semiconductor Devices 3rd Ed. (New York: Wiley) Chapter 2, p. 43 [34] Huang T, Zhu R and Luo D 2024 Chin. Phys. Lett. 41 098501 [35] Shen J X, Zhang X, Das S, Kioupakis E and Van de Walle C G 2018 Adv. Energy Mater. 8 1801027 [36] Zheng Y, Li Y, Zhuang R, Wu X, Tian C, Sun A, Chen C, Guo Y, Hua Y, Meng K, Wu K and Chen C C 2024 Energ. Environ. Sci. 17 1153 [37] Ono L K, Liu S and Qi Y 2020 Angew. Chem. Int. Ed. 59 6676 [38] Hall R N 1952 Phys. Rev. 87 387 [39] Zhang X, Shen J X, Wang W and Van de Walle C G 2018 ACS Energy Lett. 3 2329 [40] Li B, Li J, Yang G, Wu M and Yu J 2023 Chin. Phys. B 32 107801 [41] Wang X, Faizan M, Zhou K, Wang X, Fu Y and Zhang L 2024 Chin. Phys. B 33 107303 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|