Publication

Al-assisted metaphotonics

2026

Abstract

The convergence of artificial intelligence (AI) and metaphotonics is creating a new paradigm for controlling light-matter interactions. The synergy of AI's ability to learn complex relationships in multidimensional data and provide ultra-fast inference with the capacity of metaphotonics to engineer optical properties not found in nature is unlocking a new era in computational design, real-time control, and fully automated optical systems. This review provides a comprehensive overview of state-of-the-art AI-driven approaches for metaphotonic systems. We focus on the solutions to real-world problems in accelerating metaphotonic simulations and inverse design, optical data characterization, and the development of fully integrated end-to-end AI-assisted metaphotonic systems. Finally, we provide our perspectives on the future research directions and emerging opportunities at the rapidly evolving intersection of metaphotonics and AI.

Official source

https://infoscience.epfl.ch/entities/publication/d11c2a1d-076f-4649-86b3-750a499c9282

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2026

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/d11c2a1d-076f-4649-86b3-750a499c9282

About this result

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