Papers by Keyword: Hydrogen Detection

Abstract: An artificial neural networks modeling (ANNs) for the nanoparticles of palladium (Pd) in the long period fiber Bragg grating (LPFBG) is proposed. A number of simulations have been performed to investigate the characteristics of the proposed approach. The trained and the predicted transmission are compared with the experimental data. The LevenbergMarquardt algorithm has been chosen as the main algorithm because of the lowest mean square error. The model of 20 neurons in two hidden layers shows a better fitting with the experimental data. A new predicted data at 10% H₂ concentration has been introduced using proposed ANN model.

Abstract: In this study, the dependence of Pd/GaAs Schottky diode on the electroless plating (EP) variable is systematically studied. Both alkaline and acidic formulas for electroless Pd depositions are employed for investigations. The correlation between Pd gain size and the manipulation of plating bath composition is constructed. Experimental results show that the performances of Pd/GaAs Schottky diode, electric rectification and hydrogen detection, are largely governed by the Pd grain size. Furthermore, without the interference of sodium ion, the acidic-plated Pd/GaAs diode with intermediate oxide layer exhibits the excellent hydrogen sensing performances from 15 ppm to 1.0 % H2/air.