Conditional Machine Learning-Based Inverse Design Across Multiple Classes of Nanophotonic Structures

We present a machine learning-based photonics design strategy centered on encoding image colors with material and structural data. Given input target spectra, our model can accurately determine the optimal metasurface class, materials, and structure.