Publications

2018
Benaziza W, Slimane N, Mallem A. PD terminal sliding mode control using fuzzy genetic algorithm for mobile robot in presence of disturbances. Journal of Automation Mobile Robotics and Intelligent SystemsJournal of Automation Mobile Robotics and Intelligent Systems. 2018;12.
A.Kadri, F.Djeffal, Ferhati H, F.Menacer, Dibi Z. Performance analysis of a new graphene based-phototransistor for ultra-sensitive infrared sensing applications, ISSN 0030-4026. OptikOptik. 2018;Volume 176 :pp. 24-31.Abstract
In this paper, a new Graphene nanoribbon (GNR) based Ge-phototransistor is proposed and investigated numerically by self-consistently solving the Schrödinger equation and Poisson equation using non-equilibrium Green’s function (NEGF) formalism. An overall performance metrics comparison between both the conventional Si-based phototransistor and the proposed design is performed. It is found that the proposed GNR Ge-phototransistor provides better electrical and optical performances compared to the conventional counterpart. Moreover, using GNR material as a channel can improve the device performance not only enables a high Ion/Ioff ratio, but also allows achieving a superior sensitivity for ultra-low optical powers. It is also revealed that the responsivity of the investigated design can be increased by reducing the GNR channel length. This underlines the outstanding capability of the proposed design for bridging the gap between modern nanoelectronic and nanophotonic technologies. In addition, the proposed GNR-based Ge-phototransistor can achieve an acceptable detectivity for very weak optical power intensities, in the order of some Femto-Watts, which leads to reduce the total power consumption associated with optical links. Therefore, the proposed GNR phototransistor pinpoints a new path toward achieving an ultrasensitive photoreceiver with low power consumption, which makes it potential alternative for chip-level Infrared communication and nano-optoelectronic applications.
A.Kadri, F.Djeffal, Ferhati H, F.Menacer, Dibi Z. Performance analysis of a new graphene based-phototransistor for ultra-sensitive infrared sensing applications, ISSN 0030-4026. OptikOptik. 2018;Volume 176 :pp. 24-31.Abstract
In this paper, a new Graphene nanoribbon (GNR) based Ge-phototransistor is proposed and investigated numerically by self-consistently solving the Schrödinger equation and Poisson equation using non-equilibrium Green’s function (NEGF) formalism. An overall performance metrics comparison between both the conventional Si-based phototransistor and the proposed design is performed. It is found that the proposed GNR Ge-phototransistor provides better electrical and optical performances compared to the conventional counterpart. Moreover, using GNR material as a channel can improve the device performance not only enables a high Ion/Ioff ratio, but also allows achieving a superior sensitivity for ultra-low optical powers. It is also revealed that the responsivity of the investigated design can be increased by reducing the GNR channel length. This underlines the outstanding capability of the proposed design for bridging the gap between modern nanoelectronic and nanophotonic technologies. In addition, the proposed GNR-based Ge-phototransistor can achieve an acceptable detectivity for very weak optical power intensities, in the order of some Femto-Watts, which leads to reduce the total power consumption associated with optical links. Therefore, the proposed GNR phototransistor pinpoints a new path toward achieving an ultrasensitive photoreceiver with low power consumption, which makes it potential alternative for chip-level Infrared communication and nano-optoelectronic applications.
A.Kadri, F.Djeffal, Ferhati H, F.Menacer, Dibi Z. Performance analysis of a new graphene based-phototransistor for ultra-sensitive infrared sensing applications, ISSN 0030-4026. OptikOptik. 2018;Volume 176 :pp. 24-31.Abstract
In this paper, a new Graphene nanoribbon (GNR) based Ge-phototransistor is proposed and investigated numerically by self-consistently solving the Schrödinger equation and Poisson equation using non-equilibrium Green’s function (NEGF) formalism. An overall performance metrics comparison between both the conventional Si-based phototransistor and the proposed design is performed. It is found that the proposed GNR Ge-phototransistor provides better electrical and optical performances compared to the conventional counterpart. Moreover, using GNR material as a channel can improve the device performance not only enables a high Ion/Ioff ratio, but also allows achieving a superior sensitivity for ultra-low optical powers. It is also revealed that the responsivity of the investigated design can be increased by reducing the GNR channel length. This underlines the outstanding capability of the proposed design for bridging the gap between modern nanoelectronic and nanophotonic technologies. In addition, the proposed GNR-based Ge-phototransistor can achieve an acceptable detectivity for very weak optical power intensities, in the order of some Femto-Watts, which leads to reduce the total power consumption associated with optical links. Therefore, the proposed GNR phototransistor pinpoints a new path toward achieving an ultrasensitive photoreceiver with low power consumption, which makes it potential alternative for chip-level Infrared communication and nano-optoelectronic applications.
A.Kadri, F.Djeffal, Ferhati H, F.Menacer, Dibi Z. Performance analysis of a new graphene based-phototransistor for ultra-sensitive infrared sensing applications, ISSN 0030-4026. OptikOptik. 2018;Volume 176 :pp. 24-31.Abstract
In this paper, a new Graphene nanoribbon (GNR) based Ge-phototransistor is proposed and investigated numerically by self-consistently solving the Schrödinger equation and Poisson equation using non-equilibrium Green’s function (NEGF) formalism. An overall performance metrics comparison between both the conventional Si-based phototransistor and the proposed design is performed. It is found that the proposed GNR Ge-phototransistor provides better electrical and optical performances compared to the conventional counterpart. Moreover, using GNR material as a channel can improve the device performance not only enables a high Ion/Ioff ratio, but also allows achieving a superior sensitivity for ultra-low optical powers. It is also revealed that the responsivity of the investigated design can be increased by reducing the GNR channel length. This underlines the outstanding capability of the proposed design for bridging the gap between modern nanoelectronic and nanophotonic technologies. In addition, the proposed GNR-based Ge-phototransistor can achieve an acceptable detectivity for very weak optical power intensities, in the order of some Femto-Watts, which leads to reduce the total power consumption associated with optical links. Therefore, the proposed GNR phototransistor pinpoints a new path toward achieving an ultrasensitive photoreceiver with low power consumption, which makes it potential alternative for chip-level Infrared communication and nano-optoelectronic applications.
A.Kadri, F.Djeffal, Ferhati H, F.Menacer, Dibi Z. Performance analysis of a new graphene based-phototransistor for ultra-sensitive infrared sensing applications, ISSN 0030-4026. OptikOptik. 2018;Volume 176 :pp. 24-31.Abstract
In this paper, a new Graphene nanoribbon (GNR) based Ge-phototransistor is proposed and investigated numerically by self-consistently solving the Schrödinger equation and Poisson equation using non-equilibrium Green’s function (NEGF) formalism. An overall performance metrics comparison between both the conventional Si-based phototransistor and the proposed design is performed. It is found that the proposed GNR Ge-phototransistor provides better electrical and optical performances compared to the conventional counterpart. Moreover, using GNR material as a channel can improve the device performance not only enables a high Ion/Ioff ratio, but also allows achieving a superior sensitivity for ultra-low optical powers. It is also revealed that the responsivity of the investigated design can be increased by reducing the GNR channel length. This underlines the outstanding capability of the proposed design for bridging the gap between modern nanoelectronic and nanophotonic technologies. In addition, the proposed GNR-based Ge-phototransistor can achieve an acceptable detectivity for very weak optical power intensities, in the order of some Femto-Watts, which leads to reduce the total power consumption associated with optical links. Therefore, the proposed GNR phototransistor pinpoints a new path toward achieving an ultrasensitive photoreceiver with low power consumption, which makes it potential alternative for chip-level Infrared communication and nano-optoelectronic applications.
Tebbi FZ, DRIDI H, KALLA M. Performance analysis of a reservoir in arid region. Case study: Babar reservoir, Aurès region, Algeria. Journal of Water and Land DevelopmentJournal of Water and Land Development. 2018.
Tebbi FZ, DRIDI H, KALLA M. Performance analysis of a reservoir in arid region. Case study: Babar reservoir, Aurès region, Algeria. Journal of Water and Land DevelopmentJournal of Water and Land Development. 2018.
Tebbi FZ, DRIDI H, KALLA M. Performance analysis of a reservoir in arid region. Case study: Babar reservoir, Aurès region, Algeria. Journal of Water and Land DevelopmentJournal of Water and Land Development. 2018.
Achour L, Bouharkat M, Behar O. Performance assessment of an integrated solar combined cycle in the southern of Algeria. Energy ReportsEnergy Reports. 2018;4 :207-217.
Achour L, Bouharkat M, Mohamedi K, Behar O. Performance assessment of an integrated solar combined cycle in the southern of Algeria, Energy Reports 4: 207–217. 2018.
Achour L, Bouharkat M, Behar O. Performance assessment of an integrated solar combined cycle in the southern of Algeria. Energy ReportsEnergy Reports. 2018;4 :207-217.
Achour L, Bouharkat M, Mohamedi K, Behar O. Performance assessment of an integrated solar combined cycle in the southern of Algeria, Energy Reports 4: 207–217. 2018.
Achour L, Bouharkat M, Mohamedi K, Behar O. Performance assessment of an integrated solar combined cycle in the southern of Algeria, Energy Reports 4: 207–217. 2018.
Achour L, Bouharkat M, Mohamedi K, Behar O. Performance assessment of an integrated solar combined cycle in the southern of Algeria, Energy Reports 4: 207–217. 2018.
Achour L, Bouharkat M, Behar O. Performance assessment of an integrated solar combined cycle in the southern of Algeria. Energy ReportsEnergy Reports. 2018;4 :207-217.
Djebara A, Songmene V, Bahloul A. Performance of a Capillary Dilution System for High-Concentration Sampling of Ultrafine Aerosols. Aerosol Science and EngineeringAerosol Science and Engineering. 2018;2 :92-97.
Djebara A, Songmene V, Bahloul A. Performance of a Capillary Dilution System for High-Concentration Sampling of Ultrafine Aerosols. Aerosol Science and EngineeringAerosol Science and Engineering. 2018;2 :92-97.
Djebara A, Songmene V, Bahloul A. Performance of a Capillary Dilution System for High-Concentration Sampling of Ultrafine Aerosols. Aerosol Science and EngineeringAerosol Science and Engineering. 2018;2 :92-97.
Louchene E-H. Performance of Deep Convolutional Neural Networks for the Photovoltaic Generator Monitoring. CNPER1-18 National Conference on Environmental Protection and Renewable Energy, UB2. 2018.

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