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Modelling-Guided Inverse Design Strategy for Semitransparent Perovskite Photovoltaics with Customized Colors

Authors: Seok-Beom Seo; Rira Kang; Eun-Joo Lee; So-Yeon Ju; Min Jae Lee; Byunghong Lee; Sun-Kyung Kim

DOI: 10.29026/oea.2026.250218Status: Verified Translated Edition
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Key Findings in This Report

• • A 110 nm-thick perovskite absorber on glass, initially reddish-brown, was transformed to vivid cyan using a 600 nm-thick ZnS/MgF2 multilayer, achieving an AVT of 6.5% while boosting power conversion efficiency by 20.9%—demonstrating that all-dielectric interference coatings can deliver aesthetic customization without sacrificing transmittance. • • On PET substrates, the same color transformation retained an AVT of 5.3% and enhanced efficiency by 10.4%, confirming the transferability of the inverse-design framework to flexible, lightweight substrates essential for building-integrated and wearable photovoltaics. • • The active learning algorithm mapped the attainable color gamut for distinct perovskite absorber thicknesses and AVT values, enabling user-defined colors with minimal spectral loss—a critical advance over absorptive metal layers that inherently reduce transmittance and efficiency. • • Future computational refinement from 20-bit to 50–100 bits via simulated annealing or several hundred bits via quantum annealing could enable sharper spectral control, higher color purity, and access to a broader chromaticity space, directly impacting the commercial viability of colored solar windows.
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