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ESD LVTSCR model calibration by differential evolutionary optimization algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00211977" target="_blank" >RIV/68407700:21230/13:00211977 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ESD LVTSCR model calibration by differential evolutionary optimization algorithm

  • Original language description

    This paper presents the possibility to use modern optimization algorithm called Differential Evolution to automatically fit the measured data from test chip to the LVTSCR (Low Voltage-Triggered Silicon-Controlled Rectifier) electrostatic discharge (ESD)model without the need of manual model-parameters tuning. In contrast with proposed method the traditional approach using many specific measurements for specific properties quantification can be very time and resource consuming. To the best knowledge ofthe authors, this novel approach has never been previously used by any research group. Authors developed this method for ESD MOSFET model calibration and in this paper the validation for LVTSCR model is being presented. Short introduction to ESD LVTSCR function and properties are presented. Finally, results of fitting the macro-model of LVTSCR to the empirical piece-wise linear I-V characteristic created based on general properties of LVTSCR are summarized.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    LASCAS 2013

  • ISBN

    978-1-4244-9485-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Cusco

  • Event date

    Feb 27, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article