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High-Performance Inverted Perovskite Solar Cells with Sol-Gel-Processed Sliver-Doped NiO_(x)Hole Transporting Layer

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摘要 Nickel oxide(NiO_(x))has been established as a highly efficient and stable holetransporting layer(HTL)in perovskite solar cells(PSCs).However,existing deposition methods for NiO_(x)have been restricted by high-vacuum processes and fail to address the energy level mismatch at the NiO_(x)/perovskite interface,which has impeded the development of PSCs.Accordingly,we explored the application of NiO_(x)as a hybrid HTL through a sol-gel process,where a NiO_(x)film was pre-doped with Ag ions,forming a p/p^(+)homojunction in the NiO_(x)-based inverted PSCs.This innovative approach offers two synergistic advantages,including the enlargement of the built-in electric field for facilitating charge separation,optimizing energy level alignment,and charge transfer efficiency at the interface between the perovskite and HTL.Incorporating this hybrid HTL featuring the p/p^(+)homojunction in the inverted PSCs resulted in a high-power conversion efficiency(PCE)of up to 19.25%,significantly narrowing the efficiency gap compared to traditional n-i-p devices.Furthermore,this innovative strategy for the HTL enhanced the environmental stability to 30 days,maintaining 90%of the initial efficiency.
出处 《Energy & Environmental Materials》 SCIE EI CAS CSCD 2024年第4期205-214,共10页 能源与环境材料(英文)
基金 funded in part by the National Natural Science Foundation of China(62204210) the Natural Science Foundation of Jiangsu Province(BK20220284) the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(22KJB510013) the Natural Science Foundation of the Jiangsu Higher Education Institutions of China Program(19KJB510059) the Suzhou Science and Technology Development Planning Project:Key Industrial Technology Innovation(SYG201924) University Research Development Fund(RDF-17-01-13) the Key Program Special Fund in XJTLU(KSF-T-03,KSFA-07) partially supported by the XJTLU AI University Research Centre Jiangsu(Provincial)Data Science and Cognitive Computational Engineering Research Centre at XJTLU
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