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The two-impurity Anderson model: An effective medium approach
(2002-03-01)
The two-impurity Anderson model is solved within a effective medium approach. All impurity parameters are modelled via Slater atomic orbitals. Impurity spectral densities and spin correlation functions are readily computed. ...
Evolutionary modeling of larval dispersal in blowflies using non-uniform cellular automata
(2006-12-01)
When the food supply flnishes, or when the larvae of blowflies complete their development and migrate prior to the total removal of the larval substrate, they disperse to find adequate places for pupation, a process known ...
Thermal tunability of photonic bandgaps in photonic crystal fibers selectively filled with nematic liquid crystal
(2010-12-01)
We address the bandgap effect and the thermo-optical response of high-index liquid crystal (LC) infiltrated in photonic crystal fibers (PCF) and in hybrid photonic crystal fibers (HPCF). The PCF and HPCF consist of solid-core ...
Influence of barium and strontium addition on the ratio c/a of PZT obtained by the polymeric precursor method
(2001-11-09)
Lead zirconate titanate powder, with Zr/Ti ratio of 50/50 was prepared by Pechini method after adding up to 10,0 mol% of Ba +2 and Sr +2 ions. Tetragonal phase is favored by the increase of barium and strontium concentration ...
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals
(2019-01-11)
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 ...
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals
(Ieee, 2018-01-01)
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 ...
Designing artificial neural networks for band structures computations in photonic crystals
(2019-01-01)
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 ...
Photonic bandgap optimized by artificial bee colony algorithm
(2020-01-01)
In this study, we applied the Artificial Bee Colony (ABC) algorithm to the inverse design of photonic crystals (PhCs). The ABC algorithm was implemented to maximize photonic band gaps (PBG) in two-dimensional PhCs. We ...