Zener Diode Compact Model Parameter Extraction Using Xyce-Dakota Optimization.

Technical Report · Fri Dec 01 04:00:00 EST 2017

DOI:https://doi.org/10.2172/1415117· OSTI ID:1415117

Buchheit, Thomas E. ^[1]; Wilcox, Ian Zachary ^[1]; Sandoval, Andrew J ^[1]; Reza, Shahed ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

This report presents a detailed process for compact model parameter extraction for DC circuit Zener diodes. Following the traditional approach of Zener diode parameter extraction, circuit model representation is defined and then used to capture the different operational regions of a real diode's electrical behavior. The circuit model contains 9 parameters represented by resistors and characteristic diodes as circuit model elements. The process of initial parameter extraction, the identification of parameter values for the circuit model elements, is presented in a way that isolates the dependencies between certain electrical parameters and highlights both the empirical nature of the extraction and portions of the real diode physical behavior which of the parameters are intended to represent. Optimization of the parameters, a necessary part of a robost parameter extraction process, is demonstrated using a 'Xyce-Dakota' workflow, discussed in more detail in the report. Among other realizations during this systematic approach of electrical model parameter extraction, non-physical solutions are possible and can be difficult to avoid because of the interdependencies between the different parameters. The process steps described are fairly general and can be leveraged for other types of semiconductor device model extractions. Also included in the report are recommendations for experiment setups for generating optimum dataset for model extraction and the Parameter Identification and Ranking Table (PIRT) for Zener diodes.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1415117
• Report Number(s): SAND--2017-13790; 659668
• Country of Publication: United States
• Language: English

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