Publication date: 15th December 2025
Perovskite photodetectors have attracted increasing attention for advanced optoelectronic systems operating in harsh environments, including space and high-radiation conditions [1]. Despite this potential, limited insight is available into their resilience against energetic particle irradiation, particularly for devices produced using scalable manufacturing techniques [2, 3]. In this study, we examine the radiation response of bifacial, flexible perovskite photodetectors on polyethylene terephthalate (PET) substrates and fabricated by slot-die coating and exposed to 170 keV proton pulses (150 ns) at fluences of 1×1012 and 5×1012 protons/cm2. Following irradiation, the devices exhibited a fluence-dependent degradation in photoresponse, with the external quantum efficiency reduced by approximately 30–40% at lower fluence and up to ~50% at higher exposure levels. Notably, illumination through the MoO3/Au/MoO3 dielectric–metal–dielectric (DMD) electrode resulted in more pronounced performance losses. The spectral responsivity decreased from initial values of 0.39 A/W and 0.30 A/W for PET-side and DMD-side illumination, respectively, to 0.20 A/W and 0.16 A/W after high-dose irradiation. A concurrent decline in peak detectivity—from 5.9×1011 to approximately 3×1011 Jones—was observed, indicating radiation-induced limitations in charge transport and noise characteristics. Overall, these findings confirm that slot-die-coated bifacial perovskite photodetectors retain substantial functionality under proton irradiation, underscoring the suitability of scalable perovskite-based architectures for aerospace and radiation-demanding applications.
This work is supported by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (grant numbers AP26194151, AP23483937, AP19576154, and BR28712419), the Nazarbayev University Collaborative Research Program (grant number 211123CRP1613), and the Polish National Agency for Academic Exchange under the Ulam NAWA Program (grant number BNI/ULM/2024/1/00019).
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