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Measurement-based mathematical modeling is an attractive approach for simulating, accurately and efficiently, circuits based on active devices from a diverse range of constantly evolving processes and technologies. The principle of the measurement-based approach is that it is often most practical to characterize the device with various high-frequency measurements, and then mathematically transform the data to produce predictive device dynamical models for small-signal (linear) and large-signal (nonlinear) circuit design purposes. There are many mathematical, physical, and measurement considerations, however, that must be incorporated into any sound framework for successful measurement-based modeling. This paper will review some foundations of the subject and discuss some future trends. Review topics include constructing nonlinear constitutive relations from linear data parameterized by operating point and conservation laws including terminal charge conservation and energy conservation. Recent advances and trends will be discussed, such as pulsed *I*-*V* and pulsed *S*-parameter characterization with implications for electro-thermal and dispersive dynamical models, nonlinear wave-form measurements, and the relationship to some black-box behavioral modeling approaches.

- Publication
- IEICE TRANSACTIONS on Electronics Vol.E82-C No.6 pp.924-936

- Publication Date
- 1999/06/25

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- Special Section INVITED PAPER (Special Issue on TCAD for Semiconductor Industries)

- Category

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David E. ROOT, "Measurement-Based Mathematical Active Device Modeling for High Frequency Circuit Simulation" in IEICE TRANSACTIONS on Electronics,
vol. E82-C, no. 6, pp. 924-936, June 1999, doi: .

Abstract: Measurement-based mathematical modeling is an attractive approach for simulating, accurately and efficiently, circuits based on active devices from a diverse range of constantly evolving processes and technologies. The principle of the measurement-based approach is that it is often most practical to characterize the device with various high-frequency measurements, and then mathematically transform the data to produce predictive device dynamical models for small-signal (linear) and large-signal (nonlinear) circuit design purposes. There are many mathematical, physical, and measurement considerations, however, that must be incorporated into any sound framework for successful measurement-based modeling. This paper will review some foundations of the subject and discuss some future trends. Review topics include constructing nonlinear constitutive relations from linear data parameterized by operating point and conservation laws including terminal charge conservation and energy conservation. Recent advances and trends will be discussed, such as pulsed *I*-*V* and pulsed *S*-parameter characterization with implications for electro-thermal and dispersive dynamical models, nonlinear wave-form measurements, and the relationship to some black-box behavioral modeling approaches.

URL: https://global.ieice.org/en_transactions/electronics/10.1587/e82-c_6_924/_p

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@ARTICLE{e82-c_6_924,

author={David E. ROOT, },

journal={IEICE TRANSACTIONS on Electronics},

title={Measurement-Based Mathematical Active Device Modeling for High Frequency Circuit Simulation},

year={1999},

volume={E82-C},

number={6},

pages={924-936},

abstract={Measurement-based mathematical modeling is an attractive approach for simulating, accurately and efficiently, circuits based on active devices from a diverse range of constantly evolving processes and technologies. The principle of the measurement-based approach is that it is often most practical to characterize the device with various high-frequency measurements, and then mathematically transform the data to produce predictive device dynamical models for small-signal (linear) and large-signal (nonlinear) circuit design purposes. There are many mathematical, physical, and measurement considerations, however, that must be incorporated into any sound framework for successful measurement-based modeling. This paper will review some foundations of the subject and discuss some future trends. Review topics include constructing nonlinear constitutive relations from linear data parameterized by operating point and conservation laws including terminal charge conservation and energy conservation. Recent advances and trends will be discussed, such as pulsed *I*-*V* and pulsed *S*-parameter characterization with implications for electro-thermal and dispersive dynamical models, nonlinear wave-form measurements, and the relationship to some black-box behavioral modeling approaches.},

keywords={},

doi={},

ISSN={},

month={June},}

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TY - JOUR

TI - Measurement-Based Mathematical Active Device Modeling for High Frequency Circuit Simulation

T2 - IEICE TRANSACTIONS on Electronics

SP - 924

EP - 936

AU - David E. ROOT

PY - 1999

DO -

JO - IEICE TRANSACTIONS on Electronics

SN -

VL - E82-C

IS - 6

JA - IEICE TRANSACTIONS on Electronics

Y1 - June 1999

AB - Measurement-based mathematical modeling is an attractive approach for simulating, accurately and efficiently, circuits based on active devices from a diverse range of constantly evolving processes and technologies. The principle of the measurement-based approach is that it is often most practical to characterize the device with various high-frequency measurements, and then mathematically transform the data to produce predictive device dynamical models for small-signal (linear) and large-signal (nonlinear) circuit design purposes. There are many mathematical, physical, and measurement considerations, however, that must be incorporated into any sound framework for successful measurement-based modeling. This paper will review some foundations of the subject and discuss some future trends. Review topics include constructing nonlinear constitutive relations from linear data parameterized by operating point and conservation laws including terminal charge conservation and energy conservation. Recent advances and trends will be discussed, such as pulsed *I*-*V* and pulsed *S*-parameter characterization with implications for electro-thermal and dispersive dynamical models, nonlinear wave-form measurements, and the relationship to some black-box behavioral modeling approaches.

ER -