NanoPhotoNet

NanoPhotoNet-NL

Maximizing nonlinear efficiency demands extreme field confinement through optimized designs of large geometric and material parameters, which exceed traditional simulation’s computational ability. NanoPhotoNet-NL facilitates dynamically tunable DUV nanolight sources with 20 nm spectral coverage in the UVC band using low loss nonlinear phase change materials. This work marks a transformative leap in nonlinear metasurface engineering, unlocking high-performance, reconfigurable platforms for nonlinear and quantum optical nanodevices.

NanoPhotoNet

NanoPhotoNet, an advanced AI-powered design tool that leverages a hybrid deep neural network (DNN) combining convolutional neural networks (CNN) and Long Short-Term Memory (LSTM) models. NanoPhotoNet significantly accelerates the design process for MLMs, achieving over 98.3% prediction accuracy and a 50,000x speed improvement compared to conventional techniques. This enables the creation of structural colors far beyond the standard RGB range, increasing the RGB gamut area up to 163%. Additionally, NanoPhotoNet facilitates tunable color generation, extending the capabilities of MLMs to advanced applications like tunable color filters, nanolasers, and reconfigurable beam steering.

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