AI-assisted metaphotonics

  • Kang, Minsung; 
  • Choi, Seokju; 
  • Fu, Kaixi; 
  • Liu, Xiaoyuan; 
  • Wei, Zhun; 
  • 외 6명
Citations

WEB OF SCIENCE

6
Citations

SCOPUS

4

초록

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.

키워드

metaphotonics; metasurfaces; metamaterials; artificial intelligence; machine learning; INVERSE DESIGN; INTELLIGENCE
제목
AI-assisted metaphotonics
저자
Kang, Minsung; Choi, Seokju; Fu, Kaixi; Liu, Xiaoyuan; Wei, Zhun; Jin, Lei; Wang, Hao; Martin, Olivier J. F.; Yang, Joel K. W.; So, Sunae; Badloe, Trevon
DOI
10.29026/oea.2026.250263
발행일
2026-03-04
유형
Review; Early Access
저널명
Opto-electronic Advances
권
9
호
4