TY - JOUR
T1 - Nanophotonics for perovskite solar cells
AU - Furasova, A
AU - Voroshilov, Pavel
AU - Sapori, Daniel
AU - Ladutenko, Konstantin
AU - Barretin, D
AU - Zakhidov, Anvar
AU - di Carlo, Aldo
AU - Simovski, Konstantin
AU - Makarov, Sergei
PY - 2022
Y1 - 2022
N2 - Solar photovoltaics based on synthetic halide perovskites have revolutionized solar energetics in the last decade. Since 2009 the overall efficiency of the sunlight-to-electricity conversion in perovskite solar cells increases from 3.8% up to 25.5% (for thin-film single-junction perovskite solar cells) and more than 30% (for affordable tandem solar cells with top photovoltaic layer of halide perovskite). On the other hand, nanophotonics has made a huge progress in the direction of light manipulation at nanoscale, which is highly important for various thin-film technologies. In this review, implementation of various nanophotonic designs for improvement of perovskite solar cells efficiencies is discussed. In particular, different methodologies are covered for devices nanopatterning, nanotexturing, and nanostructuring of perovskite solar cells. Moreover, how these changes in the solar cell architecture would not only affect optical properties, but also modify charge carriers transport and harvesting are discussed. Finally, recent progress in machine learning for the perovskite solar cells design optimization is overviewed.
AB - Solar photovoltaics based on synthetic halide perovskites have revolutionized solar energetics in the last decade. Since 2009 the overall efficiency of the sunlight-to-electricity conversion in perovskite solar cells increases from 3.8% up to 25.5% (for thin-film single-junction perovskite solar cells) and more than 30% (for affordable tandem solar cells with top photovoltaic layer of halide perovskite). On the other hand, nanophotonics has made a huge progress in the direction of light manipulation at nanoscale, which is highly important for various thin-film technologies. In this review, implementation of various nanophotonic designs for improvement of perovskite solar cells efficiencies is discussed. In particular, different methodologies are covered for devices nanopatterning, nanotexturing, and nanostructuring of perovskite solar cells. Moreover, how these changes in the solar cell architecture would not only affect optical properties, but also modify charge carriers transport and harvesting are discussed. Finally, recent progress in machine learning for the perovskite solar cells design optimization is overviewed.
KW - charge carrier improvement
KW - light management
KW - machine learning
KW - nanophotonics
KW - perovskite solar cells
U2 - 10.1002/adpr.202100326
DO - 10.1002/adpr.202100326
M3 - Article
SN - 2699-9293
VL - 3
SP - 1
EP - 20
JO - Advanced Photonics Research
JF - Advanced Photonics Research
M1 - 2100326
ER -