期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Multivariate rational regression and its application in semiconductor device modeling
1
作者 Yuxi Hong Dongsheng Ma Zuochang Ye 《Journal of Semiconductors》 EI CAS CSCD 2018年第9期67-73,共7页
Physics equation-based semiconductor device modeling is accurate but time and money consuming.The need for studying new material and devices is increasing so that there has to be an efficient and accurate device model... Physics equation-based semiconductor device modeling is accurate but time and money consuming.The need for studying new material and devices is increasing so that there has to be an efficient and accurate device modeling method. In this paper, two methods based on multivariate rational regression(MRR) for device modeling are proposed. They are single-pole MRR and double-pole MRR. The two MRR methods are proved to be powerful in nonlinear curve fitting and have good numerical stability. Two methods are compared with OLS and LASSO by fitting the SMIC 40 nm MOS-FET I–V characteristic curve and the normalized mean square error of Single-pole MRR is 3.02 × 10^-8 which is 4 magnitudes less than an ordinary least square. The I–V characteristics of CNT-FET and performance indicators(noise factor, gain, power) of a low noise amplifier are also modeled by using MRR methods. The results show MRR methods are very powerful methods for semiconductor device modeling and have a strong nonlinear curve fitting ability. 展开更多
关键词 multivariate rational regression MRR semiconductor device modeling vector fitting
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部