Affiliation:
1. Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education Shaanxi Key Laboratory for Advanced Energy Devices Shaanxi Engineering Lab for Advanced Energy Technology International Joint Research Center of Shaanxi Province for Photoelectric Materials Science Institute for Advanced Energy Materials School of Materials Science and Engineering Shaanxi Normal University Xi'an 710119 China
2. Department of Materials Science and Engineering Hong Kong Institute for Clean Energy City University of Hong Kong Hong Kong SAR 999077 China
3. Dalian National Laboratory for Clean Energy; iChEM Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 China
4. University of the Chinese Academy of Sciences Beijing 100039 China
Abstract
AbstractPerovskite solar cells (PSCs) with excellent photoelectric properties have attracted much attention in recent years. However, the solution manufacturing of PSCs inevitably introduces a large number of defects (both bulk and surface defects), which seriously affect the performance of PSCs. Defect passivation from additive engineering is an effective and simple strategy. Among these additives, polymers are increasingly attracting attention due to their excellent properties, such as adjustable structures, multiple functional groups, excellent stability, and low cost, which can further promote the commercialization of PSC technology. However, the application of polymers in PSCs have encountered some obstacles due to a lack of systematic studies, such as unelucidated interactions between polymers and perovskites, the frequent trial‐and‐error process used in material selection, and the lack of effective guidelines. In this review, the application of polymers in various layers of PSCs devices is first summarized. Then, three main roles of polymers in PSCs are summarized, including crystallization regulation, the mechanical stability enhancement of flexible perovskite solar cells (FPSCs), and their use as undoped hole transport materials (HTMs). More importantly, machine learning (ML) is proposed to design and select polymers as passivators and HTMs for PSCs. Finally, promising guidelines and recommendations are provided for the commercialization of PSCs.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Fundamental Research Funds for Central Universities of the Central South University
Natural Science Basic Research Program of Shaanxi Province
Subject
Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Cited by
4 articles.
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