A Computationally Efficient Compact Model for Ferroelectric FinFETs Switching with Asymmetric Non-Periodic Input Signals

<div>In this paper, we develop a Verilog-A implementable compact model for the dynamic switching of ferroelectric Fin-FETs (Fe-FinFETs) for asymmetric non-periodic input signals. We use the multi-domain Preisach Model to capture the saturated P-E loop of the ferroelectric capacitors. In addition to the saturation loop, we model the history dependent minor loop paths in the P-E by tracing input signals’ turning points. To capture the input signals’ turning points, we propose an R-C circuit based approach in this work. We calibrate our proposed model with the experimental data, and it accurately captures the history effect and minor loop paths of the ferroelectric capacitor. Furthermore, the elimination of storage of each turning point makes the proposed model computationally efficient compared with the previous implementations. We also demonstrate the unique electrical characteristics of Fe-FinFETs by integrating the developed compact model of Fe-Cap with the BSIM-CMG model of 7nm FinFET.</div>

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A ferroelectric capacitor compact model for circuit simulation

Proceedings. 7th International Conference on Solid-State and Integrated Circuits Technology, 2004. ◽

10.1109/icsict.2004.1435109 ◽

2005 ◽

Author(s):

Chao-gane Wei ◽

Tian-ling Ren ◽

Dan Xie ◽

Zhi-Gang Zhang ◽

Jun Zhu ◽

...

Keyword(s):

Circuit Simulation ◽

Compact Model ◽

Ferroelectric Capacitor

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A Multidimensional and Multiscale Model for Pressure Analysis in a Reservoir-Pipe-Valve System

Volume 5: High-Pressure Technology; ASME Nondestructive Evaluation, Diagnosis and Prognosis Division (NDPD); Rudy Scavuzzo Student Paper Symposium and 26th Annual Student Paper Competition ◽

10.1115/pvp2018-84591 ◽

2018 ◽

Author(s):

Feng Jie Zheng ◽

Fu Zheng Qu ◽

Xue Guan Song

Keyword(s):

Pressure Fluctuation ◽

Large Scale ◽

Three Dimensional ◽

Industrial Process ◽

Multiscale Model ◽

Computational Time ◽

Small Scale ◽

Cfd Model ◽

Computationally Efficient ◽

Proposed Model

Reservoir-pipe-valve (RPV) systems are widely used in many industrial process. The pressure in an RPV system plays an important role in the safe operation of the system, especially during the sudden operation such as rapid valve opening/closing. To investigate the pressure especially the pressure fluctuation in an RPV system, a multidimensional and multiscale model combining the method of characteristics (MOC) and computational fluid dynamics (CFD) method is proposed. In the model, the reservoir is modeled by a zero-dimensional virtual point, the pipe is modeled by a one-dimensional MOC, and the valve is modeled by a three-dimensional CFD model. An interface model is used to connect the multidimensional and multiscale model. Based on the model, a transient simulation of the turbulent flow in an RPV system is conducted, in which not only the pressure fluctuation in the pipe but also the detailed pressure distribution in the valve are obtained. The results show that the proposed model is in good agreement with the full CFD model in both large-scale and small-scale spaces. Moreover, the proposed model is more computationally efficient than the CFD model, which provides a feasibility in the analysis of complex RPV system within an affordable computational time.

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Compact Model for Bipolar and Multilevel Resistive Switching in Metal-Oxide Memristors

Micromachines ◽

10.3390/mi13010098 ◽

2022 ◽

Vol 13 (1) ◽

pp. 98

Author(s):

Eugeny Ryndin ◽

Natalia Andreeva ◽

Victor Luchinin

Keyword(s):

Metal Oxide ◽

Equation System ◽

Software Implementation ◽

Compact Model ◽

Metal Oxide Films ◽

Bipolar Switching ◽

Proposed Model ◽

Current Voltage ◽

Current Voltage Characteristics ◽

Good Agreement

The article presents the results of the development and study of a combined circuitry (compact) model of thin metal oxide films based memristive elements, which makes it possible to simulate both bipolar switching processes and multilevel tuning of the memristor conductivity taking into account the statistical variability of parameters for both device-to-device and cycle-to-cycle switching. The equivalent circuit of the memristive element and the equation system of the proposed model are considered. The software implementation of the model in the MATLAB has been made. The results of modeling static current-voltage characteristics and transient processes during bipolar switching and multilevel turning of the conductivity of memristive elements are obtained. A good agreement between the simulation results and the measured current-voltage characteristics of memristors based on TiOx films (30 nm) and bilayer TiO2/Al2O3 structures (60 nm/5 nm) is demonstrated.

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A Multidimensional and Multiscale Model for Pressure Analysis in a Reservoir-Pipe-Valve System

Journal of Pressure Vessel Technology ◽

10.1115/1.4044117 ◽

2019 ◽

Vol 141 (5) ◽

Author(s):

Feng Jie Zheng ◽

Chao Yong Zong ◽

William Dempster ◽

Fu Zheng Qu ◽

Xue Guan Song

Keyword(s):

Large Scale ◽

Pressure Fluctuations ◽

Three Dimensional ◽

Multiscale Model ◽

Computational Time ◽

Small Scale ◽

Dimensional System ◽

Cfd Model ◽

Computationally Efficient ◽

Proposed Model

Reservoir-pipe-valve (RPV) systems are widely used in many industrial processes. The pressure in an RPV system plays an important role in the safe operation of the system, especially during the sudden operations such as rapid valve opening or closing. To investigate the pressure response, with particular interest in the pressure fluctuations in an RPV system, a multidimensional and multiscale model combining the method of characteristics (MOC) and computational fluid dynamics (CFD) method is proposed. In the model, the reservoir is modeled as a zero-dimensional virtual point, the pipe is modeled as a one-dimensional system using the MOC, and the valve is modeled using a three-dimensional CFD model. An interface model is used to connect the multidimensional and multiscale model. Based on the model, a transient simulation of the turbulent flow in an RPV system is conducted in which not only the pressure fluctuation in the pipe but also the detailed pressure distribution in the valve is obtained. The results show that the proposed model is in good agreement when compared with a high fidelity CFD model used to represent both large-scale and small-scale spaces. As expected, the proposed model is significantly more computationally efficient than the CFD model. This demonstrates the feasibility of analyzing complex RPV systems within an affordable computational time.

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On the Response of Nonlinear Control Systems to Periodic Input Signals

Bell System Technical Journal ◽

10.1002/j.1538-7305.1964.tb01012.x ◽

1964 ◽

Vol 43 (3) ◽

pp. 911-926 ◽

Cited By ~ 23

Author(s):

I. W. Sandberg

Keyword(s):

Nonlinear Control ◽

Control Systems ◽

Nonlinear Control Systems ◽

Input Signals ◽

Periodic Input

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An Analytical Subdomain Model of Torque Dense Halbach Array Motors

Energies ◽

10.3390/en11123254 ◽

2018 ◽

Vol 11 (12) ◽

pp. 3254 ◽

Cited By ~ 1

Author(s):

Moadh Mallek ◽

Yingjie Tang ◽

Jaecheol Lee ◽

Taoufik Wassar ◽

Matthew A. Franchek ◽

...

Keyword(s):

Fourier Series ◽

Performance Comparison ◽

Magnetic Vector Potential ◽

Two Dimensional ◽

Computationally Efficient ◽

Element Analysis ◽

Halbach Array ◽

Proposed Model ◽

Separation Of Variable ◽

Electromagnetic Performance

A two-dimensional mathematical model estimating the torque of a Halbach Array surface permanent magnet (SPM) motor with a non-overlapping winding layout is developed. The magnetic field domain for the two-dimensional (2-D) motor model is divided into five regions: slots, slot openings, air gap, rotor magnets and rotor back iron. Applying the separation of variable method, an expression of magnetic vector potential distribution can be represented as Fourier series. By considering the interface and boundary conditions connecting the proposed regions, the Fourier series constants are determined. The proposed model offers a computationally efficient approach to analyze SPM motor designs including those having a Halbach Array. Since the tooth-tip and slots parameters are included in the model, the electromagnetic performance of an SPM motor, described using the cogging torque, back-EMF and electromagnetic torque, can be calculated as function of the slots and tooth-tips effects. The proposed analytical predictions are compared with results obtained from finite-element analysis. Finally, a performance comparison between a conventional and Halbach Array SPM motor is performed.

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Restricted Ornstein–Uhlenbeck process and applications in neuronal models with periodic input signals

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2015.01.042 ◽

2015 ◽

Vol 285 ◽

pp. 59-71 ◽

Cited By ~ 17

Author(s):

A. Buonocore ◽

L. Caputo ◽

A.G. Nobile ◽

E. Pirozzi

Keyword(s):

Uhlenbeck Process ◽

Input Signals ◽

Periodic Input ◽

Ornstein Uhlenbeck Process

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Efficient Spatial Dynamics for Continuum Arms

Volume 3: Multiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems ◽

10.1115/dscc2015-9932 ◽

2015 ◽

Cited By ~ 2

Author(s):

Isuru S. Godage ◽

Raul Wirz ◽

Ian D. Walker ◽

Robert J. Webster

Keyword(s):

Dynamic Models ◽

Spatial Dynamics ◽

High Accuracy ◽

Computationally Efficient ◽

Pneumatic Muscle ◽

Computational Overhead ◽

Proposed Model ◽

Continuum Robot ◽

Transient And Steady State ◽

The Continuum

Continuum robot dynamic models have previously involved a choice between high accuracy, numerically intensive models, and low accuracy, computationally efficient models. The objective of this paper is to provide an accurate dynamic model with low computational overhead. Our approach is to place point masses at the center of gravity of the continuum section, rather than along the robot’s backbone or centerline. This enables the model to match the robot’s energetic characteristics with many fewer point masses. We experimentally validate the model using a pneumatic muscle actuated continuum arm. We find that the proposed model successfully captures both the transient and steady state dynamics of the arm.

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