Soudani MS, Aouiche A, Chafaa K, Aouiche E, Taleb M, Fares Z.
Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-6.
Soudani MS, Aouiche A, Chafaa K, Aouiche E, Taleb M, Fares Z.
Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-6.
Soudani MS, Aouiche A, Chafaa K, Aouiche E, Taleb M, Fares Z.
Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-6.
Soudani MS, Aouiche A, Chafaa K, Aouiche E, Taleb M, Fares Z.
Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-6.
Soudani MS, Aouiche A, Chafaa K, Aouiche E, Taleb M, Fares Z.
Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model. 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA). 2019 :1-6.
Guenifi N, amdane Mahamdi R, Rahmani I.
Comparison between Boron and Phosphorus Diffusion profiles in MOS Transistors using SILVACO ATHENA and Matlab in both 2D and 3D, . Editions universitaires europeennes; 2019 pp. pages 52.
AbstractDopant 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
Guenifi N, amdane Mahamdi R, Rahmani I.
Comparison between Boron and Phosphorus Diffusion profiles in MOS Transistors using SILVACO ATHENA and Matlab in both 2D and 3D, . Editions universitaires europeennes; 2019 pp. pages 52.
AbstractDopant 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
Guenifi N, amdane Mahamdi R, Rahmani I.
Comparison between Boron and Phosphorus Diffusion profiles in MOS Transistors using SILVACO ATHENA and Matlab in both 2D and 3D, . Editions universitaires europeennes; 2019 pp. pages 52.
AbstractDopant 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
Briki S, Zitouni B, Bechaa B, Amiali M.
Comparison of convective and infrared heating as means of drying pomegranate arils (Punica granatum L.). Heat and Mass TransferHeat and Mass Transfer. 2019;55 :3189-3199.
Briki S, Zitouni B, Bechaa B, Amiali M.
Comparison of convective and infrared heating as means of drying pomegranate arils (Punica granatum L.). Heat and Mass TransferHeat and Mass Transfer. 2019;55 :3189-3199.
Briki S, Zitouni B, Bechaa B, Amiali M.
Comparison of convective and infrared heating as means of drying pomegranate arils (Punica granatum L.). Heat and Mass TransferHeat and Mass Transfer. 2019;55 :3189-3199.
Briki S, Zitouni B, Bechaa B, Amiali M.
Comparison of convective and infrared heating as means of drying pomegranate arils (Punica granatum L.). Heat and Mass TransferHeat and Mass Transfer. 2019;55 :3189-3199.
Hachi D, Benhadda N, Helifa B, Lefkaier IK, Abdelhadi B.
Composite material characterization using eddy current by 3D FEM associated with iterative technique. Advanced electromagneticsAdvanced Electromagnetics. 2019;8 :8-15.
Hachi D, Benhadda N, Helifa B, Lefkaier IK, Abdelhadi B.
Composite material characterization using eddy current by 3D FEM associated with iterative technique. Advanced electromagneticsAdvanced Electromagnetics. 2019;8 :8-15.
Hachi D, Benhadda N, Helifa B, Lefkaier IK, Abdelhadi B.
Composite material characterization using eddy current by 3D FEM associated with iterative technique. Advanced electromagneticsAdvanced Electromagnetics. 2019;8 :8-15.
Hachi D, Benhadda N, Helifa B, Lefkaier IK, Abdelhadi B.
Composite material characterization using eddy current by 3D FEM associated with iterative technique. Advanced electromagneticsAdvanced Electromagnetics. 2019;8 :8-15.
Hachi D, Benhadda N, Helifa B, Lefkaier IK, Abdelhadi B.
Composite material characterization using eddy current by 3D FEM associated with iterative technique. Advanced electromagneticsAdvanced Electromagnetics. 2019;8 :8-15.
Bahloul A, Djebara A, Saidi MN, Songmene V, Villalpando F, Reggio M.
Computational and experimental analysis of ultrafine particle dispersion during granite polishing. Aerosol Science and EngineeringAerosol Science and Engineering. 2019;3 :21-31.