Publications Scientifiques

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Author: search.filters.author.Nafa, FaresHas files: Yes

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    Recent progress on field-effect transistor-based biosensors: device perspective
    (Beilstein-Institut Zur Forderung der Chemischen Wissenschaften, 2024) Smaani, Billel; Nafa, Fares; Benlatrech, Mohamed Salah; Mahdi, Ismahan; Akroum, Hamza; Azizi, Mohamed walid; Harrar, Khaled; Kanungo, Sayan
    Over the last few decades, field-effect transistor (FET)-based biosensors have demonstrated great potential across various industries, including medical, food, agriculture, environmental, and military sectors. These biosensors leverage the electrical properties of transistors to detect a wide range of biomolecules, such as proteins, DNA, and antibodies. This article presents a comprehensive review of advancements in the architectures of FET-based biosensors aiming to enhance device performance in terms of sensitivity, detection time, and selectivity. The review encompasses an overview of emerging FET-based biosensors and useful guidelines to reach the best device dimensions, favorable design, and realization of FET-based biosensors. Consequently, it furnishes researchers with a detailed perspective on design considerations and applications for future generations of FET-based biosensors. Finally, this article proposes intriguing avenues for further research on the topology of FET-based biosensors.
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    Analysis of the gate-to-channel capacitance variation for the tri-gate nanowire junctionless transistors
    (2021) Smaani, Billel; Yakhelef, Yassine; Nafa, Fares; Salah, Mouhamed
    In this paper, the gate-to-channel capacitance variation for the tFlat-band voltageri-gate nanowire junctionless transistor (JLT) has been analyzed. It is based on the 2-D electrostatic numerical simulation realized using Silvaco-TCAD Software. The flat-band voltage and the threshold voltage are extracted trough the plotting of the derivative for the gate-to-channel capacitance versus the gate voltage. This plotting is performed for different values of the channel width and the channel height of the tri-gate JLT. Moreover, the physical effect of the back-gate biasing has been investigated
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    Double-gate MOSFET model implemented in verilog-AMS language for the transient simulation and the configuration of ultra low-power analog circuits
    (Polska Akademia Nauk, 2021) Smaani, Billel; Meraihi, Yassine; Nafa, Fares; Benlatreche, Mohamed Salah; Akroum, Hamza; Latreche, Saida
    This paper deals with the implementation of a DC and AC double-gate MOSFET compact model in the Verilog-AMS language for the transient simulation and the configuration of ultra low-power analog circuits. The Verilog-AMS description of the proposed model is inserted in SMASH circuit simulator for the transient simulation and the configuration of the Colpitts oscillator, the common-source amplifier, and the inverter. The proposed model has the advantages of being simple and compact. It was validated using TCAD simulation results of the same transistor realized with Silvaco Software
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    adaptive wavelets sliding mode control for a class of second order nderactuated mechanical systems.
    (2021) Nafa, Fares; Boudouda, Aimad; Smaani, Billel
    The control of underactuated mechanical systems (UMS) remains an attracting field where researchers can develop their control algorithms. To this date, various linear and nonlinear control techniques using classical and intelligent methods have been published in literature. In this work, an adaptive controller using sliding mode control (SMC) and wavelets network (WN) is proposed for a class of second-order UMS with two degrees of freedom (DOF). This adaptive control strategy takes advantage of both sliding mode control and wavelet properties. In the main result, we consider the case of un-modeled dynamics of the above-mentioned UMS, and we introduce a wavelets network to design an adaptive controller based on the SMC. The update algorithms are directly extracted by using the gradient descent method and conditions are then settled to achieve the required convergence performance. The efficacy of the proposed adaptive approach is demonstrated through an application to the pendubot.