NanoPhotoNet

NanoPhotoNet-Inverse

Single-photon emitters (SPEs) based on nitrogen-vacancy centers in nanodiamonds (neutral NV0 (wavelength 575 nm) and negative NV- (wavelength 637 nm)) represent promising platforms for quantum nanophotonics applications, yet their emission efficiencies remain constrained by weak light-matter interactions. NanoPhotoNet-Inverse, an artificial intelligence-driven inverse design framework based on a hybrid deep neural network architecture. Our approach achieves inverse design prediction efficiency exceeding 98.7%, demonstrating three orders of magnitude amplification in SPE count rate and 50 picosecond lifetime, significantly surpassing conventional cavity designs. Our platform is a transformative technology for advancing quantum communication networks, quantum computing architectures, quantum sensing applications, and quantum cryptography systems.

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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