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Unravelling the Factors Influencing Halide Perovskite Based Switchable Photovoltaics

X. Xing, Si En Ng, Yeow Boon Tay, Natalia Yantara, Wen Siang Lew, Nripan Mathews

2024Advanced Functional Materials12 citationsDOIOpen Access PDF

Abstract

Abstract Lead halide perovskites have revolutionized the field of optoelectronics (such as photovoltaics and light emitting diodes) demonstrating extraordinary material properties despite being formed at low temperatures. However, ion migration in the bulk or at the interfaces results in stability issues especially in devices where metal electrodes directly interface with the perovskite film. Utilizing the switchable photovoltaic phenomenon (SPV) in halide perovskites as a measure of ion migration and electrochemical reactions within them, Cs 0.05 MA 0.15 FA 0.70 PbI 2.5 Br 0.5 triple cation perovskite, widely used in photovoltaics is evaluated. The various factors determining the SPV, including electric field magnitudes, type of metal contacts, Illumination conditions, and temperature is systematically measured. This study reveals the roles of electrode work functions and reactivities on ion migration and local electronic structure modulation. ITO electrodes demonstrated the highest open‐circuit voltage (V oc ) about 0.85 V while Ag electrodes developed conductive filaments. However, the V oc distribution for Ti and Cr electrodes shows a more pronounced linear correlation with the poling electric field strength. Insights from this lateral design are directly relevant to transistor and memristor architectures and offer inputs into the design of perovskite‐based photovoltaic/optoelectronic devices.

Topics & Concepts

Materials sciencePhotovoltaicsPerovskite (structure)HalideOptoelectronicsElectrodeDiodePolingOpen-circuit voltageElectric fieldPhotovoltaic systemNanotechnologyVoltageDielectricInorganic chemistryElectrical engineeringFerroelectricityChemistryCrystallographyPhysical chemistryQuantum mechanicsPhysicsEngineeringPerovskite Materials and ApplicationsAdvanced Memory and Neural ComputingConducting polymers and applications
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