跳到主要內容

臺灣博碩士論文加值系統

(216.73.217.167) 您好!臺灣時間:2026/08/13 14:32
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:林家醇
研究生(外文):Jia-chun Lin
論文名稱:MOSFET元件製程之統計最佳化分析模型
論文名稱(外文):Statistical Optimization Modeling in Fabricating MOSFET Device
指導教授:陳居毓
指導教授(外文):Chu-Yu Chen
學位類別:碩士
校院名稱:國立臺南大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:英文
論文頁數:64
中文關鍵詞:金氧半場效電晶體因素分析新思科技電腦輔助設計軟體臨界電壓科學統計分析軟體
外文關鍵詞:EFASPSSThreshold voltageMOSFETSilvaco TCAD
相關次數:
  • 被引用被引用:0
  • 點閱點閱:785
  • 評分評分:
  • 下載下載:79
  • 收藏至我的研究室書目清單書目收藏:0
本篇論文主旨為提出一具有系統性的統計分析方式來針對90nm和65nm之金氧半場效電晶體裝置進行探討。主要研究目標為闡明分析出主要因素間之關聯及找出探討範圍內最佳且合乎臨界電壓要求的因素組合及其電性特性。研究主要進行方式為探索性因素分析,並使用新思科技之電腦輔助設計軟體設立電晶體結構。
研究結果包括:(1)提出一系統性的統計分析方式來探討金氧半場效電晶體變數間的關係。(2)研究流程中發現,當半導體尺寸縮小,臨界電壓也隨之變小。這會造成更難找到適當範圍的參數,因此研究中使用不同模型進行對照。(3)本研究對資料建立出因素分析分數,提供日後新變數一參照標準,在新舊資料間提供關聯性和概念。
In this thesis, a statistical optimization modeling is proposed to investigate the effect of the critical factors in the process of the 90nm and 65nm MOSFET devices. The electrical properties and correlation of the principal factors, are simulated based on exploratory factor analysis (EFA). From those results, optimization parameters are extracted to meet the requirements. TCAD SILVACO simulator was used to simulate electrical properties in the process of the 90nm and 65nm n-channel MOSFET structure.
Research results are concluded as follows. (1)A systematic method describing the statistical optimization of the electrical parameters for MOSFET device is demonstrated. (2) It is very hard to find the suitable parameters when the threshold voltage goes smaller as the device size decreases. Different models are required to verify the validness of the extracted data. (3) EFA history score has been established for future reference.
Abstract (in Chinese).....................................................................ii
Abstract (in English) ....................................................................iii
Acknowledgment..........................................................................iv
Table of Contents...........................................................................v
List of Figures..............................................................................vii
List of Tablesi................................................................................x
Chapter 1 INTRODUCTION..........................................................1
1-1 Introduction.............................................................................1
1-2 Motivation...............................................................................3
1-3 Outline of thesis.......................................................................4
Chapter 2 RESEARCH APPROACHES AND TOOLS....................5
2-1 Design of Research Procedures................................................5
2-2 Metal-Oxide-Semiconductor Field-Effect Transistor Physics...........................................................................................7
2-3 Factor Analysis Technique.....................................................10
2-4 Monte Carlo method...............................................................13
2-5 Silvaco TCAD software..........................................................14
Chapter 3 OPTIMIZATION IN FABRICATING 90nm MOSFET DEVICE........................................................................................16
3-1 MOSFET Processing...............................................................16
3-2 Compare of Different Structure Models..................................19
3-3 Optimization Analysis.............................................................21
3-3-1 Characteristic Discussion.....................................................21
3-2-2 Factor Analysis Scores.........................................................31
3-3-3 Extraction Electronic Parameters.........................................35
3-4 Summary and Results.............................................................38
Chapter 4 OPTIMIZATION IN FABRICATING 65nm MOSFET DEVICE.......................................................................................40
4-1 Comparison of Different Structure Models.............................40
4-2 Optimization Analysis............................................................44
4-2-1 Characteristic Discussion....................................................44
4-2-2 Factor Analysis Scores........................................................50
4-2-3 Extraction Electronic Parameters.........................................52
4-3 Summary and Results.............................................................53
Chapter 5 CONCLUSION AND PROSPECT................................55
5-1 Conclusion.............................................................................55
5-2 Prospect..................................................................................56
REFERENCES..............................................................................57
APPENDIX I The 65nm MOSFET factor scores of the optimized parameters using the Monte Carlo model..................................................................................60
[1] T. C. Hong and R. Ismail, “Device Design Considerations for Nanoscale MOSFET Using Semiconductor TCAD Tools,” IEEE International Conference on Semiconductor Electronics (ICSE), 06. Oct. 29, 2006, pp. 906 – 910.
[2] S. M. Thompson, “Power, Cost and Circuit IP Reuse: The Real Limiter to Moore’s Law Over the Next 10 Years,” in IEEE VLSI-TSA Int., 2010, pp. 88-89.
[3] Y. Nishi, “The Present and Future of Nanoelectronics,” in IEEE IMFEDK Int., 2004, pp. 19-20.
[4] Abdul Aziz A and Zamani N.S, “Effect of The Various Doping Concentration of BF2+ on Polysilicon-Gate PMOS,” Proceedings of IEEE Student Conference on Research and Development (SCOReD), 2009, pp. 222-225.
[5] M. R. Narayanan, H. Al-Nashash, B. Mazhari and D. Pal, “Kink Reduction Using Selective Back Oxide Structure,” Proceedings of IEEE International Conference on Microelectronics (ICOM), 2009, pp.358-361.
[6] Ismail L.N, Pawet M.A,,Mohamad Saad P.S and Zoolfakar A.S, “Failure Mechanism of Silicon Germanium (SiGe) Technology on 90nm PMOS,” International conference on electronic devices, systems and applications(ICEDSA), 2010, pp. 352-356.
[7] Z.Zurita, M.M.Shukri and M.M.Rusop, “Study the Effect of Polysilicon Doping on the Junction Depth in 65nm Structure,” International conference on electronic devices, systems and applications (ICEDSA), 2010, pp. 418-422.
[8] M. K. Anvarifard, M. G. Armaki and S. E. Hosseini, “A New Transistor of Dual-Gate SOI And Evidence For Diminished Short Channel Effects,” International Conference on Emerging Trends in Electronic and Photonic Devices & Systems (ELECTRO), 2009, pp. 29-32.
[9] M. Muhamad, S. Lokman and H. Hussin, “Optimization in Fabricating 90nm NMOS Transistors Using Silvaco,” Proceedings of IEEE Student Conference on Research and Development (SCOReD), 2009, pp. 258-261.
[10] A. Abdul Aziz and S. S. Osman, “A Simulation based study on C-V characteristics of oxide thickness for NMOS,” 2010 Intl Conf on Electronic Devices, Systems and Applications (ICEDSA), 2010, pp. 404 – 407.
[11] V. Vasireddy and S. Parke, “Simulation and Experimental Results of a 0.15µm Independent Double Gated CMOS Transistor,” 18th Biennial University/Government/Industry Micro/Nano Symposium (UGIM), 2010, pp. 1-3.
[12] T. Z. Mohamad, I. Ahamd, and A. Zaharim, “Optimum Solution in Fabricating 65nm NMOS Transistors Using Taguchi Method,” WSEAS ACACOS Int., , April 2008, pp. 451-456.
[13] M. P. Kevin, “Stochastic Simulation in Physics,” New York: Springer, 1997.
[14] Silvaco International Inc, “ATLAS User’s Manual,” CA, 2010.
[15] Silvaco International Inc, “ATHENA User’s Manual,” CA, 2010.
[16] Jie Yang, “Manufacturability Aware Design,” University of Michigan, 2007.
[17] Sima Dimitrijev, “Principles of semiconductor device,” 6th ed., OXFORD UNIVERSITY PRESS, 2006.
[18] S. M. Sze, “Semiconductor devices physics and technology,” 2nd ed., WILEY-INTER SCIENCE, New York, 2006.
[19] Neil H.E. Weste and David Harris, “CMOS VLSI Design: A Circuits and Systems Perspective,” 3rd edition, Pearson Education, 2005.
[20] T. Raykov & G. A. Marcoulides, “An introduction to applied multivariate analysis,” New York: Taylor & Francis, 2008.
[21] Hair, J. F. Jr., Anderson, R. E., Tatham, R. L., and Black, W. C., “Multivariate Data Analysis,” 4th ed., Englewood Cliffs, Prentice-Hall Inc., New Jersey, 1998.
[22] Donald F. Morrison, “Multivariate Statistical Methods,” 4th ed., Thomson Brooks/Cole, 2004.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊