Abstract Hybrid photonic structures of plasmonic metasurfaces coupled to atomically thin semiconductors have emerged as a versatile platform for strong light–matter interaction, supporting both coupling and parametric nonlinearities. However, designing optimized nonlinear hybrid is complex task, the multiple parameters’ contribution response elusive. Here we present simple yet powerful strategy...

Abstract Blade envelopes offer a set of data-driven tolerance guidelines for manufactured components based on aerodynamic analysis. In Part I this two-part paper, workflow the formulation blade is described and demonstrated. II, extended to accommodate multiple objectives. This allows engineers prescribe manufacturing that take into account performance criteria. The quality can be correlated wi...

Across fields of science, researchers have increasingly focused on designing soft devices that can shape-morph to achieve functionality. However, identifying a rest shape leads target 3D upon actuation is non-trivial task involves inverse design capabilities. In this study, simple and efficient platform presented pre-programmed shapes starting from 2D planar composite membranes. By training neu...

In an expansion of a previous study [1], we apply inverse design methods to produce two-dimensional plasma metamaterial devices with realistic elements which incorporate quartz envelopes, collisionality (loss), non-uniform density profiles, and resistance experimental error/perturbation. Backpropagated finite difference frequency domain simulations are used waveguides demultiplexers operating u...

The current praxis of designing plasmonic devices by hand, mainly guided by qualitative arguments, often derived from simplified semianalytical theories, significantly limits the accessible design space and, consequently, the achievable performances. In the present work, we propose a rigorous inverse design method to engineer three-dimensional metal nanoparticles according to a preassigned obje...