Halide Perovskites for Photoelectrochemical Water Splitting and CO2 Reduction: Challenges and Opportunities

被引:3
|
作者
Bienkowski, Krzysztof [1 ]
Solarska, Renata [1 ]
Trinh, Linh [1 ]
Widera-Kalinowska, Justyna [2 ]
Al-Anesi, Basheer [3 ]
Liu, Maning [3 ]
Grandhi, G. Krishnamurthy [3 ]
Vivo, Paola [3 ]
Oral, Burcu [4 ]
Yilmaz, Beyza [4 ]
Yildirim, Ramazan [4 ]
机构
[1] Univ Warsaw, Ctr New Technol, PL-02097 Warsaw, Poland
[2] Adelphi Univ, Dept Chem, Garden City, NY 11530 USA
[3] Tampere Univ, Fac Engn & Nat Sci, Hybrid Solar Cells, FI-33014 Tampere, Finland
[4] Bogazici Univ, Chem Engn Dept, TR-34342 Istanbul, Turkiye
基金
美国国家科学基金会;
关键词
photoelectrochemistry; halide perovskites; CO2; reduction; solar energy conversion; machine learning; CARBON-DIOXIDE; SOLAR-CELLS; PERFORMANCE; CONVERSION; EFFICIENT; STABILITY; CATALYSTS; FILM; PHOTOCATALYSIS; SEMICONDUCTORS;
D O I
10.1021/acscatal.3c06040
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Photoelectrochemical water splitting and CO2 reduction provide an attractive route to produce solar fuels while reducing the level of CO2 emissions. Metal halide perovskites (MHPs) have been extensively studied for this purpose in recent years due to their suitable optoelectronic properties. In this review, we survey the recent achievements in the field. After a brief introduction to photoelectrochemical (PEC) processes, we discussed the properties, synthesis, and application of MHPs in this context. We also survey the state-of-the-art findings regarding significant achievements in performance, and developments in addressing the major challenges of toxicity and instability toward water. Efforts have been made to replace the toxic Pb with less toxic materials like Sn, Ge, Sb, and Bi. The stability toward water has been also improved by using various methods such as compositional engineering, 2D/3D perovskite structures, surface passivation, the use of protective layers, and encapsulation. In the last part, considering the experience gained in photovoltaic applications, we provided our perspective for the future challenges and opportunities. We place special emphasis on the improvement of stability as the major challenge and the potential contribution of machine learning to identify the most suitable formulation for halide perovskites with desired properties.
引用
收藏
页码:6603 / 6622
页数:20
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