We modeled Multilayer Perceptron (MLP) Artificial Neural Network for predicting band diagrams (BD) of bi-dimensional photonic crystals. Datasets for MLP training were created by relating geometric and material properties ...

We modeled Multilayer Perceptron (MLP) Artificial Neural Network for predicting band diagrams (BD) of bi-dimensional photonic crystals. Datasets for MLP training were created by relating geometric and material properties ...

The simultaneous integration of a nematic liquid crystalline structure and light emission in a photonic material is attractive for designing novel optical devices. Here we describe the luminescent study of a new optical ...

We modeled Multilayer Perceptron and Extreme Learning Machine Artificial Neural Networks (ANNs) for computing band structures (BSTs) and photonic band gaps (PBGs) of 2D and 3D photonic crystals (PhCs). We aim at providing ...

The simultaneous integration of a nematic liquid crystalline structure and light emission in a photonic material is attractive for designing novel optical devices. Here we describe the luminescent study of a new optical ...

We report on a study of electromagnetic waves propagation in thin periodically ordered photonic nanostructures in the spectral range where the light wavelength is on the order of the lattice parameter. The vector KKR method ...