Publications

2019
Comparison between Boron and Phosphorus Diffusion profiles in MOS Transistors using SILVACO ATHENA and Matlab in both 2D and 3D
Guenifi, Naima, R amdane Mahamdi, and Ibrahim Rahmani. 2019. 52 Comparison between Boron and Phosphorus Diffusion profiles in MOS Transistors using SILVACO ATHENA and Matlab in both 2D and 3D. Editions universitaires europeennes. Publisher's Version Abstract

Dopant diffusion in semiconductors is a very important in process step of device. diffusion has a great influence on the electrical and electronic properties especially in the lacunary and interstitial mechanismis. This chapter investigates the diffusion of P and B in Si. The profiles have been simulated using Secondary Ion Mass Spectrometry (SIMS) modele [1,2]. In the process for manufacturing MOS transistor, the manufacturers follow basically three steps. The starting substrate is a monocrystalline silicon wafer. The first step consists in producing the polysilicon gate on a thin layer of SiO2 followed by implantation (boron) of the gate. The second step is the training of source-drain junctions by ion implantation to high dose (≈ 10 15 at / cm2) and the third is to silicide the source-drain junctions for reduce the contact resistance. One of the most promising silicides is the monosilicide of nickel (NiSi). therefore, it is very important to understand the redistribution of dopants in the different active parts of a transistor by studying the following points: • The redistribution of boron in polycrystalline silicon (gate), • The redistribution of boron in the monocrystal

Bouhafna, Allaeddine, and Bouguenna Abderraouf. 2019. “Etude et réalisation d'une serrure intelligente "Smart Lock"”.
Touafek, N. 2019. “Effects of Carrier Mobility and defects on the Recombination Characteristic of P3HT:Graphene Bulk Heterojunction Solar Cell”. 3ème congrès international sur les énergies renouvelables et le développement durable ERDD-2019. Publisher's Version
Touafek, N. 2019. “Impact of the secondary phase ZnS on CZTS performance solar cells”. 3ème congrès international sur les énergies renouvelables et le développement durable ERDD-2019. Publisher's Version
Hafdaoui, Hichem, and Djamel Benatia. 2019. “Dectection all types of acoustics microwaves in piezoelectric material (ZnO) by classification using support vector machines (SVM)”. International Conference on Electronics and Electrical Engineering- 12-13 November 2018, Bouira- ALGERIA. Publisher's Version Abstract

In this paper, we propose a new numerical method for acoustics microwaves detection of an acoustics microwaves signal during the propagation of acoustics microwaves in a piezoelectric substrate Zinc oxide (ZnO) . We have used Support Vector Machines (SVM) ,the originality of this method is the accurate values that provides .this technic help us to identify undetectable waves that we can not identify with the classical methods; in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity in order to build a model from which we note the types of microwaves acoustics( bulk waves or surface waves or leaky waves) . By which we obtain accurate values for each of the coefficient attenuation and acoustic velocity. This study will be very interesting in modeling and realization of acoustics microwaves devices (ultrasound ,Radiating structures , Filter SAW ….) based on the propagation of acoustics microwaves.

Ahmed, Mahamdi. 2019. “Fast and Accurate Model to Determine the Resonant Characteristics of Elliptical Microstrip Patch Antenna”. International Conference on Advanced Systems and Electric Technologies (IC_ASET), Tunisie. Publisher's Version
Ahmed, Mahamdi. 2019. “Artificial Neural Network Model Analysis of Tunable Circular Microstrip Patch Antenna”. International Conference on Advanced Systems and Electric Technologies (IC_ASET), Tunisie. Publisher's Version

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