Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity

• DOI: 10.1021/acsphotonics.1c01888
• Publication Date: 2022-01-24T18:23:20Z
• Authors: Mohammadreza Zand...; Yashar Kiarashinejad; Muliang Zhu; Hossein Maleki; Tyler Brown; Ali Adibi
• Keywords: Manifold (fluid mechanics)

Here, we present a new approach based on manifold learning for knowledge discovery and inverse design with minimal complexity in photonic nanostructures. Our builds studying submanifolds of responses class nanostructures different complexities the latent space to obtain valuable insight about physics device operation guide more intelligent design. In contrast current methods nanostructures, which are limited preselected usually overcomplex structures, show that our method allows evolution from an initial toward simplest structure while solving problem.