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Bioinspired Perovskite Nanostructures for Artificial Intelligence-Based Anti-Counterfeiting and Amplified Spontaneous Emission
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DOI：10.1002/adom.202501802.png)
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Abstract
En 中文
Halide perovskites (CsPbX3, X = Cl, Br, I) have emerged as transformative optoelectronic materials due to their tunable bandgap, exceptional photoluminescence quantum yield (PLQY > 90%), and solution processability. Although nanostructure engineering offers avenues for boosting light extraction efficiency and enabling dynamic optical functionalities, the inherent environmental instability of perovskites and fundamental incompatibility with conventional photolithography-which involves multi-step etching processes that degrade ionic lattices-seriously hinder their practical application. To address these challenges, the study proposes an innovative strategy combining in situ crystallization with nanoimprint lithography (NIL), which realizes the fabrication of large-area (>6 cm(2)), high-resolution perovskite nanostructures. The designed hexagonally arranged 'yurt'-shaped nanoarray, inspired by the nanoscale structure on cicada wings, exhibits amplified spontaneous emission (ASE) in the near-infrared region at a photoexcitation flux of 134 mu J cm(-2), achieved through the modulation of electric and magnetic dipole resonances. Additionally, perovskite nanostructures can generate two types of colors: extrinsic structural color and intrinsic emission color. By fine-tuning the excitation intensity, the resultant color can be dynamically adjusted, thereby producing a substantial dataset necessary for deep learning-based color recognition tasks. Ultimately, this study presents a convenient, accurate, and rapid color anti-counterfeiting label recognition strategy grounded in deep learning methodologies. The findings not only offer novel insights for advanced anti-counterfeiting technologies but also provide an innovative pathway for the cost-effective fabrication of high-performance optoelectronic devices characterized by high resolution and expansive perovskite nanostructures.
Keywords:
amplified spontaneous emission
anti-counterfeiting
deep learning
dynamic color modulation
perovskite nanostructures
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