Statistical modeling of the electrical characteristics for HfO2 thin films grown by MOMBE for high-k dielectric applications

Jung Hwan Lee, Kyoung Eun Kweon, Young Don Ko, Tae Hyoung Moon, Jae Min Myoung, Ilgu Yun

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this paper, the multiple regression model of electrical characteristics for HfO2 thin films grown by metal organic molecular beam epitaxy (MOMBE) was investigated. The electrical properties, such as the accumulation capacitance and the hysteresis index, are the main factors to determine the characteristics of HfO2. The input process parameters were extracted by analyzing the process conditions and the characterization of the films. X-ray diffraction was measured to analyze the variation of the characteristics on the various process conditions. In order to build the process model, the multiple regression models were carried out using the design of experiments. The analysis of variance and the effect plots were used to analyze the significance level and the relationship between the process parameters and the responses.

Original languageEnglish
Pages (from-to)454-460
Number of pages7
JournalJournal of Materials Processing Technology
Volume203
Issue number1-3
DOIs
Publication statusPublished - 2008 Jul 18

Bibliographical note

Funding Information:
This work was supported by Yonsei University Institute of TMS Information Technology, a Brain Korea 21 program, Korea and by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (No. R01-2007-000-20143-0).

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Computer Science Applications
  • Metals and Alloys
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Statistical modeling of the electrical characteristics for HfO2 thin films grown by MOMBE for high-k dielectric applications'. Together they form a unique fingerprint.

Cite this