TY - JOUR
T1 - Passivation strategies for enhancing device performance of perovskite solar cells
AU - Wu, Zhifang
AU - Bi, Enbing
AU - Ono, Luis K.
AU - Li, Dengbing
AU - Bakr, Osman
AU - Yan, Yanfa
AU - Qi, Yabing
N1 - KAUST Repository Item: Exported on 2023-09-01
Acknowledgements: This work was supported by funding from the Energy Materials and Surface Sciences Unit of the Okinawa Institute of Science and Technology Graduate University, the OIST R&D Cluster Research Program, and the OIST Proof of Concept (POC) Program.
PY - 2023/8/2
Y1 - 2023/8/2
N2 - Because of high efficiencies and low-cost fabrication, perovskite solar cells (PSCs) have drawn great attention. Although an impressive power conversion efficiency (PCE) of 26.1% has been achieved, there is still room for further improvements before these cells reach their theoretical limit. One major factor limiting the PCE of PSCs is defect-induced recombination. Defect passivation strategies have proven useful in improving the PCE of PSCs. In this review, we first briefly summarize the passivation methods and theories for other solar cell technologies, including silicon solar cells, cadmium telluride solar cells and copper indium gallium selenide solar cells. We then introduce the various types of defects present in PSCs and the corresponding passivation methods. Finally, we provide future perspectives and propose that it is exigent to establish a better understanding of the relationship between the properties of passivation materials and their defect passivation effects on perovskite materials and device performance. To understand this relationship, machine learning can be a powerful tool to advance the design and synthesis of passivation materials to enhance device performance of PSCs.
AB - Because of high efficiencies and low-cost fabrication, perovskite solar cells (PSCs) have drawn great attention. Although an impressive power conversion efficiency (PCE) of 26.1% has been achieved, there is still room for further improvements before these cells reach their theoretical limit. One major factor limiting the PCE of PSCs is defect-induced recombination. Defect passivation strategies have proven useful in improving the PCE of PSCs. In this review, we first briefly summarize the passivation methods and theories for other solar cell technologies, including silicon solar cells, cadmium telluride solar cells and copper indium gallium selenide solar cells. We then introduce the various types of defects present in PSCs and the corresponding passivation methods. Finally, we provide future perspectives and propose that it is exigent to establish a better understanding of the relationship between the properties of passivation materials and their defect passivation effects on perovskite materials and device performance. To understand this relationship, machine learning can be a powerful tool to advance the design and synthesis of passivation materials to enhance device performance of PSCs.
UR - http://hdl.handle.net/10754/693929
UR - https://linkinghub.elsevier.com/retrieve/pii/S2211285523005682
UR - http://www.scopus.com/inward/record.url?scp=85166658342&partnerID=8YFLogxK
U2 - 10.1016/j.nanoen.2023.108731
DO - 10.1016/j.nanoen.2023.108731
M3 - Article
SN - 2211-2855
VL - 115
SP - 108731
JO - Nano Energy
JF - Nano Energy
ER -
