Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …

Achieving the desired optical response from a multilayer thin-film structure over a broad
range of wavelengths and angles of incidence can be challenging. An advanced thin-film …

The design of metamaterials which support unique optical responses is the basis for most
thin-film nanophotonic applications. In practice, this inverse design (ID) problem can be …

This study examines how boundary conditions affect the modeling of mixed convection flow
in an inclined tube for ciliary motion of a non-Newtonian fluid. Understanding mixed …

Engineering a physical system to feature designated characteristics states an inverse design
problem, which is often determined by several discrete and continuous parameters. If such a …

Multilayer films with continuously varying indices for each layer have attracted great deal of
attention due to their superior optical, mechanical, and thermal properties. However …

In this work, we apply conditional invertible neural networks (cINN) to inversely design
multilayer thin-films given an optical target in order to overcome limitations of state-of-the-art …

In this paper, a hybrid metaheuristic of Particle Swarm Optimization (PSO) and the Interior
Point Algorithm (IPA) is used to analyze and find better solutions to the nonlinear magneto …

Over the last decades, light-emitting diodes (LED) have replaced common light bulbs in
almost every application, from flashlights in smartphones to automotive headlights …

The asynchronous double deep Q-learning (A-DDQN) method is proposed to design the
multi-mode interference (MMI) power splitters for low insertion loss and wide bandwidth from …