INTERPRETATION AND CONTROL OF C-V MEASUREMENTS USING PATTERN-RECOGNITION AND EXPERT SYSTEM TECHNIQUES

被引:5
作者
WALLS, JA
WALTON, AJ
ROBERTSON, JM
机构
[1] Digital Equipment Scotland, Ltd., Headrig Road, South Queensferry
[2] Edinburgh Microfabrication Facility, Department of Electrical Engineering, The Kings’ Buildings, Mayfield Road, Edinburgh
关键词
D O I
10.1109/66.85947
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Pattern-recognition and knowledge-based techniques have been applied to help extract the maximum amount of information from C-V measurements. This has been implemented by integrating conventional, algorithmic instrument control software with an expert system shell to intelligently sequence tests to enhance conventional CV, GV, C-t, and QSCV measurements. This approach ensures that the measurement sequence is appropriately tailored to the particular characteristics of the MOS capacitor test structure under investigation.
引用
收藏
页码:250 / 262
页数:13
相关论文
共 24 条
  • [1] Nicollian E.H., Electrical properties of the Si:SiO<sub>2</sub> interface and its influence on device performance and stability, Journal of Vacuum Science Technology, 14, 5, pp. 1112-1121, (1977)
  • [2] Nicollian E.H., Brews J.R., MOS (Metal Oxide Semiconductor) Physics and Technology, (1982)
  • [3] McGillivray I.G., The measurement of electrical parameters and trace impurity effects in MOS capacitors, Ph.D. dissertation, (1987)
  • [4] Walls J.A., Capacitance-voltage measurements: an expert system approach, Ph.D. dissertation, (1990)
  • [5] Brews J.R., Rapid interface parameterization using a single MOS conductance curve, Solid State Electronics, 26, 8, pp. 711-716, (1983)
  • [6] Nicollian E.H., Goetzberger A., Lateral ac current flow model for metal-insulator-semiconductor capacitors, IEEE Trans. Electron Devices, ED-12, pp. 108-117, (1965)
  • [7] Walls J.A., Walton A.J., Robertson J.M., Crawford T.M., Automating and sequencing C-V measurements for process fault diagnosis using a pattern recognition technique, Proc. ICMTS 1989, 2, pp. 193-199, (1989)
  • [8] Fischler M.A., Bolles R.C., Perceptual organisation and curve partitioning, IEEE Trans. Pattern Anal. Machine Intel., PAMI 8, 1, (1986)
  • [9] Walls J.A., Walton A.J., Robertson J.M., Crawford T.M., Interpretation of C-V curves for process fault diagnosis: a machine-learning expert systems approach, Proc. ICMTS 1988, 2, pp. 174-178, (1988)
  • [10] James M., Classification Algorithms, (1985)