HEMT statistical modeling using Monte Carlo method combined with principal components analysis

被引：0

作者：

Ciminelli, C ^{[1
]}

D'Orazio, A ^{[1
]}

De Sario, M ^{[1
]}

Petruzzelli, V ^{[1
]}

Prudenzano, F ^{[1
]}

机构：

[1] Politech Bari, Dipartimento Elettrotecn & Elettron, I-70125 Bari, Italy

来源：

MELECON 2000: INFORMATION TECHNOLOGY AND ELECTROTECHNOLOGY FOR THE MEDITERRANEAN COUNTRIES, VOLS 1-3, PROCEEDINGS | 2000年

关键词：

Monte Carlo method; Principal Components analysis; high electron mobility transistor;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A statistical methodology is presented for the extraction of equivalent circuit parameters (ECP's) of high electron mobility transistors (HEMT). This methodology, based upon the Principal Component Analysis (PCA) combined with the Monte Carlo method, can be successfully employed for evaluating HEMT's reliability and their technological dispersion effects, too. Furthermore the method provides an efficient system to derive ECP's values when the measured ones are not available. Thanks to this procedure the device designer can gain a noticeable rid during the design.

引用

页码：806 / 809

页数：4

共 50 条

[21] A Practical Method for Redesigning Statistical Tolerances Using Monte Carlo Simulation
Peng, Heping
Peng, Zhuoqun
PROCEEDINGS OF 2018 9TH INTERNATIONAL CONFERENCE ON MECHANICAL AND AEROSPACE ENGINEERING (ICMAE 2018), 2018, : 213 - 218
[22] Modeling of lactose enzymatic hydrolysis using Monte Carlo method
Gao, Ling
Guo, Qingqing
Lin, Huibin
Pan, Deng
Huang, Xiaodong
Lin, Jianqun
Lin, Jianqiang
ELECTRONIC JOURNAL OF BIOTECHNOLOGY, 2019, 40 : 78 - 83
[23] Probabilistic Shoreline Change Modeling Using Monte Carlo Method
Ding, Yan
Kim, Sung-Chan
Frey, Ashley E.
WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2017: HYDRAULICS AND WATERWAYS AND WATER DISTRIBUTION SYSTEMS ANALYSIS, 2017, : 24 - 34
[24] Computing radiative intensity components by using the backward Monte Carlo method
Li, Hongshun
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2007, 35 (02): : 113 - 115
[25] The metropolis Monte Carlo method in statistical physics
Landau, DP
MONTE CARLO METHOD IN THE PHYSICAL SCIENCES, 2003, 690 : 134 - 146
[26] Monte Carlo method in nonlinear statistical optics
Zhurnal Neorganicheskoj Khimii, 426 (2-4): : 1309 - 1339
[27] Monte Carlo method in nonlinear statistical optics
Kandidov, VP
USPEKHI FIZICHESKIKH NAUK, 1996, 166 (12): : 1309 - 1338
[28] METHODS OF STATISTICAL TESTING - MONTE CARLO METHOD
MULLER, ME
TECHNOMETRICS, 1965, 7 (04) : 659 - &
[29] Exact Statistical Inferences and Monte Carlo Method
Simushkin, S. V.
LOBACHEVSKII JOURNAL OF MATHEMATICS, 2014, 35 (04) : 360 - 370
[30] MONTE CARLO METHOD IN QUANTUM STATISTICAL MECHANICS
HANDSCOMB, DC
PROCEEDINGS OF THE CAMBRIDGE PHILOSOPHICAL SOCIETY, 1962, 58 (OCT): : 594 - &

← 1 2 3 4 5 →