Dataset 'A NEAT Approach to Evolving Neural-Network-based Optimization of Chiral Photonic Metasurfaces: Application of a Neuro-Evolution Pipeline'

This dataset related to the procedures discussed in the research article "A NEAT Approach to Evolving Neural-Network-based Optimization of Chiral Photonic Metasurfaces: Application of a Neuro-Evolution Pipeline" contains the shapes and spectra obtained through the use of the chiral metasurface machine-learning optimization framework detailled in the invited paper "Advancing Machine Learning Optimization of Chiral Photonic Metasurface: Comparative Study of Neural Network and Genetic Algorithm Approaches" (http://doi.org/10.1002/apxr.202500223, preprint arXiv:2512.13656). A preprint of the neuro-evolution pipeline article is available on arXiv via external link [ arXiv:2512.23558, https://arxiv.org/abs/2512.23558 or https://doi.org/10.48550/arXiv.2512.23558 ]. Also, see accepted manuscript https://doi.org/10.1002/aisy.70468 (Advanced Intelligent Systems).