An Efficient and Reliable Approach for Semiconductor Device Parameter Extraction

Shui Jinn Wang, Jau Yien Lee, Chun Yen Chang

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


This paper presents an efficient and reliable method for general semiconductor device parameter extraction. The parameter ex-traction technique consists of minimizing a nonlinear objective function. A hybrid approach based on strategical combinations of the Gauss method and a novel minimum search scheme is employed. Various of strategies are proposed to make the parameter extraction task more efficient and accurate. According to the proposed technique, a model-independent parameter extraction program was implemented and highly satisfactory results have been obtained. Experimentally, it is found that, if the initial guess deviates from the optimum solution within 70 percent, a unique set of optimum device parameters can be extracted in five to eight iterations. The parameter extraction technique presented in this paper can be readily applied to sensitivity analysis of device and circuit perfor-mances and to quantitative evaluation of model accuracy. It is shown that the presented method is a very useful tool for device and integrated circuit design.

Original languageEnglish
Pages (from-to)170-179
Number of pages10
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Issue number1
Publication statusPublished - 1986 Jan

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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