Comparative Between (LiNbO3) and (LiTaO3) in Detecting Acoustics Microwaves (BAW) Using Probabilistic Neural Network (PNN)

Citation:

Hafdaoui, Hichem, and Djamel Benatia. 2017. “Comparative Between (LiNbO3) and (LiTaO3) in Detecting Acoustics Microwaves (BAW) Using Probabilistic Neural Network (PNN)”. International Conference on Electronics and New Technologies- 14-15 november 2017.

Abstract:

Our work is mainly about detecting BAW (Bulk acoustic waves), where we compared between Lithium Niobate (LiNbO3) and Lithium Tantalate (LiTaO3) ,during the propagation of acoustic microwaves in a piezoelectric substrate. In this paper, We have used the classification by Probabilistic Neural Network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary part of the coefficient

attenuation with the acoustic velocity for conclude whichever is the best in utilization for generating Bulk acoustic waves.This study will be very interesting in modeling and realization of acoustic microwaves devices (ultrasound) based on the propagation of acoustic microwaves.

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Last updated on 07/13/2022