The Experts below are selected from a list of 114 Experts worldwide ranked by ideXlab platform
Yogesh Singh Chauhan - One of the best experts on this subject based on the ideXlab platform.
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analysis and compact modeling of negative capacitance transistor with high on current and negative output differential resistance part i model description
IEEE Transactions on Electron Devices, 2016Co-Authors: Girish Pahwa, Tapas Dutta, Amit Agarwal, Sourabh Khandelwal, Sayeef Salahuddin, Yogesh Singh ChauhanAbstract:We present an accurate and computationally efficient physics-based compact model to quantitatively analyze negative capacitance FET (NCFET) for real circuit design applications. Our model is based on the Landau–Khalatnikov equation coupled to the standard BSIM6 MOSFET model and implemented in Verilog-A. It includes transient and temperature effects, and accurately captures different aspects of NCFET. A comprehensive quasi-static analysis of NCFET in its different regions of operation is also performed using a simpler Loadline approach. We also analyze the impact of ferroelectric and gate oxide thicknesses on the performance gain of NCFET over MOSFET.
Venturini Delsolaro Walter - One of the best experts on this subject based on the ideXlab platform.
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Mathematical formulation to predict the harmonics of the superconducting Large Hadron Collider magnets; 3, Precycle ramp rate effects and magnet characterization
'American Physical Society (APS)', 2009Co-Authors: Sammut Nicholas, Bottura Luca, Deferne Guy, Venturini Delsolaro WalterAbstract:The Large Hadron Collider (LHC) at CERN is equipped with a feed-forward control system known as the field description for the LHC (FiDeL) which is designed to predict the magnetic field and its multipoles, hence reducing the burden on beam based feedback. FiDeL consists of a physical and empirical parametric field model based on magnetic measurements at warm and in cryogenic conditions. It is particularly critical during beam injection when the field decays and at the beginning of acceleration when the field snaps back. It is known that the decay amplitude is largely affected by the powering history of the magnet, particularly by the precycle flattop current and duration and the preinjection preparation duration. Recently, we have collected data that quantify the dependence of the decay amplitude on the precycle ramp rate. This paper presents the results of the measurements performed to investigate this effect, and the method included in FiDeL to model the precycle dependence. With this complete picture of dynamic changes, we finally discuss the effect on the data taken at nominally constant field, along the magnet Loadline. We show that a correction for dynamic changes is required for adequate magnet characterization
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Mathematical formulation to predict the harmonics of the superconducting Large Hadron Collider magnets : III. Precycle ramp rate effects and magnet characterization
'American Physical Society (APS)', 2009Co-Authors: Sammut Nicholas, Bottura Luca, Deferne Guy, Venturini Delsolaro WalterAbstract:The Large Hadron Collider (LHC) at CERN is equipped with a feed-forward control system known as the field description for the LHC (FiDeL) which is designed to predict the magnetic field and its multipoles, hence reducing the burden on beam based feedback. FiDeL consists of a physical and empirical parametric field model based on magnetic measurements at warm and in cryogenic conditions. It is particularly critical during beam injection when the field decays and at the beginning of acceleration when the field snaps back. It is known that the decay amplitude is largely affected by the powering history of the magnet, particularly by the precycle flattop current and duration and the preinjection preparation duration. Recently, we have collected data that quantify the dependence of the decay amplitude on the precycle ramp rate. This paper presents the results of the measurements performed to investigate this effect, and the method included in FiDeL to model the precycle dependence.With this complete picture of dynamic changes, we finally discuss the effect on the data taken at nominally constant field, along the magnet Loadline. We show that a correction for dynamic changes is required for adequate magnet characterization.peer-reviewe
Girish Pahwa - One of the best experts on this subject based on the ideXlab platform.
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analysis and compact modeling of negative capacitance transistor with high on current and negative output differential resistance part i model description
IEEE Transactions on Electron Devices, 2016Co-Authors: Girish Pahwa, Tapas Dutta, Amit Agarwal, Sourabh Khandelwal, Sayeef Salahuddin, Yogesh Singh ChauhanAbstract:We present an accurate and computationally efficient physics-based compact model to quantitatively analyze negative capacitance FET (NCFET) for real circuit design applications. Our model is based on the Landau–Khalatnikov equation coupled to the standard BSIM6 MOSFET model and implemented in Verilog-A. It includes transient and temperature effects, and accurately captures different aspects of NCFET. A comprehensive quasi-static analysis of NCFET in its different regions of operation is also performed using a simpler Loadline approach. We also analyze the impact of ferroelectric and gate oxide thicknesses on the performance gain of NCFET over MOSFET.
Sammut Nicholas - One of the best experts on this subject based on the ideXlab platform.
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Mathematical formulation to predict the harmonics of the superconducting Large Hadron Collider magnets; 3, Precycle ramp rate effects and magnet characterization
'American Physical Society (APS)', 2009Co-Authors: Sammut Nicholas, Bottura Luca, Deferne Guy, Venturini Delsolaro WalterAbstract:The Large Hadron Collider (LHC) at CERN is equipped with a feed-forward control system known as the field description for the LHC (FiDeL) which is designed to predict the magnetic field and its multipoles, hence reducing the burden on beam based feedback. FiDeL consists of a physical and empirical parametric field model based on magnetic measurements at warm and in cryogenic conditions. It is particularly critical during beam injection when the field decays and at the beginning of acceleration when the field snaps back. It is known that the decay amplitude is largely affected by the powering history of the magnet, particularly by the precycle flattop current and duration and the preinjection preparation duration. Recently, we have collected data that quantify the dependence of the decay amplitude on the precycle ramp rate. This paper presents the results of the measurements performed to investigate this effect, and the method included in FiDeL to model the precycle dependence. With this complete picture of dynamic changes, we finally discuss the effect on the data taken at nominally constant field, along the magnet Loadline. We show that a correction for dynamic changes is required for adequate magnet characterization
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Mathematical formulation to predict the harmonics of the superconducting Large Hadron Collider magnets : III. Precycle ramp rate effects and magnet characterization
'American Physical Society (APS)', 2009Co-Authors: Sammut Nicholas, Bottura Luca, Deferne Guy, Venturini Delsolaro WalterAbstract:The Large Hadron Collider (LHC) at CERN is equipped with a feed-forward control system known as the field description for the LHC (FiDeL) which is designed to predict the magnetic field and its multipoles, hence reducing the burden on beam based feedback. FiDeL consists of a physical and empirical parametric field model based on magnetic measurements at warm and in cryogenic conditions. It is particularly critical during beam injection when the field decays and at the beginning of acceleration when the field snaps back. It is known that the decay amplitude is largely affected by the powering history of the magnet, particularly by the precycle flattop current and duration and the preinjection preparation duration. Recently, we have collected data that quantify the dependence of the decay amplitude on the precycle ramp rate. This paper presents the results of the measurements performed to investigate this effect, and the method included in FiDeL to model the precycle dependence.With this complete picture of dynamic changes, we finally discuss the effect on the data taken at nominally constant field, along the magnet Loadline. We show that a correction for dynamic changes is required for adequate magnet characterization.peer-reviewe
Frank Ellinger - One of the best experts on this subject based on the ideXlab platform.
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optimized transistor output power extending cripps Loadline method to cascode stages
IEEE Transactions on Microwave Theory and Techniques, 2011Co-Authors: S Hauptmann, Frank EllingerAbstract:A method for analytical optimization of maximum distortionless output power in a class-A amplifier stage is presented. This method is based on Brown's ideas to optimize the load resistance of triode vacuum tubes and Cripps' Loadline method. As a result, the maximum distortionless output power of a cascode stage can be directly calculated as a function of load impedance. The theoretical approach is demonstrated with the design of a 61.5-GHz low-noise amplifier involving a cascode stage as output stage.