Decoding recombination dynamics in perovskite solar cells: an in-depth critical review

Adhikari, Ramkrishna Das; Patel, Mayur Jagdishbhai; Baishya, Himangshu; Yadav, Deepak; Kalita, Manab; Alam, Mizanur; Iyer, Parameswar Krishnan

doi:10.1039/d4cs01231c

reviewChemical Society ReviewsJan 1, 2025Closed access

Decoding recombination dynamics in perovskite solar cells: an in-depth critical review

RDRamkrishna Das Adhikari MJMayur Jagdishbhai Patel HBHimangshu Baishya DYDeepak Yadav MKManab Kalita

Indian Institute of Technology Guwahati

PubMed

Indexed incrossrefpubmed

Abstract

Losses, bridging the gap between the theoretical SQ limit and practical device performance. Subsequently, it delves into recent findings that aim to decipher the multifaced nature and origin of radiative and non-radiative recombination-induced losses within the device stack, assessing their impacts on overall performance. Furthermore, this review emphasizes the application of advanced machine learning techniques to discern dominant recombination mechanisms in PSCs. Finally, it summarizes the notable advanced strategies to mitigate undesirable non-radiative recombination losses, which pave the way to the thermodynamic efficiency limit.

Citation impact

44

total citations

FWCI: 25.44
Percentile: 100%
References: 332

Citations per year

Authors

7

Topics & keywords

Topics

Keywords

Expediting
Recombination
Perovskite (structure)
Enhanced Data Rates for GSM Evolution
Decoding methods
Materials science
Optoelectronics
Computer science

UN Sustainable Development Goals

Affordable and clean energy

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