Extended Abstracts of the 2002 International Conference on Solid State Devices and Materials 2002
DOI: 10.7567/ssdm.2002.p11-7
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A Genetic Algorithm Approach to InGaP/GaAs HBT Parameters Extraction and RF Characterization

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Cited by 7 publications
(10 citation statements)
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“…For multi LTPS TFTs, development of advanced compact model and corresponding parameter optimization technique are the most important issues. We are currently working on intelligent optimization algorithms [8,9] for LTPS TFT parameter extraction.…”
Section: Discussionmentioning
confidence: 99%
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“…For multi LTPS TFTs, development of advanced compact model and corresponding parameter optimization technique are the most important issues. We are currently working on intelligent optimization algorithms [8,9] for LTPS TFT parameter extraction.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the physical properties of the LTPS TFTs and the mathematical behaviors of the RPI compact models [7][8][9], our approach sequentially optimizes the model parameters in the regions of linear, subthreshold, saturation, and leakage. For a set of given measured data, extraction of…”
Section: Introductionmentioning
confidence: 99%
“…A thermal model that describes the relation between the power dissipation and the junction temperature is adopted. The electrical model of HBT considered in our simulation is based on the Gummel-Poon (GP) large signal model [7], [8], [9], [10]. For the thermal-electrical feedback mechanism, the temperature-dependant equations are introduced to the GP model …”
Section: Self-heating Modeling and Numerical Methodsmentioning
confidence: 99%
“…Using the waveform relaxation (WR), the monotone iterative (MI), and Runge-Kutta methods [7], [8], [9], [10], a set of nonlinear ordinary differential equations (ODEs) with thermal models is solved numerically in the time domain. The governing ODEs of the equivalent circuit of HBTs are formulated by the Kirchhoff's current law [11].…”
Section: Introductionmentioning
confidence: 99%
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