Physically Based Modeling of Stress-Induced Variation in Nanoscale Transistor Performance

Uniaxial stress is widely used in advanced CMOS technologies to boost transistor performance. Conventional compact transistor models rely on empirical fitting of the average channel stress value to predict mobility and, hence, transistor performance. This approach can lead to significant errors for deeply scaled technologies. In this paper, stress profiles are modeled in analytical form, using a physically based approach. The stress model is validated by 3-D TCAD simulations. A nanometer-scale transistor intrinsic delay formula based on injection velocity theory is then applied. The predicted variation in transistor performance compares well with the measured silicon data for a 45-nm strained CMOS technology.

[1]  Xuemei Xi Ali M. Niknejad Chenming Hu Mohan V. Dunga A Holistic Model for Mobility Enhancement through Process-Induced Stress , 2005, 2005 IEEE Conference on Electron Devices and Solid-State Circuits.

[2]  Sani R. Nassif,et al.  Test structures for delay variability , 2002, TAU '02.

[3]  Min Chen,et al.  Modeling of layout-dependent stress effect in CMOS design , 2009, 2009 IEEE/ACM International Conference on Computer-Aided Design - Digest of Technical Papers.

[4]  Borivoje Nikolic,et al.  Measurement and Analysis of Variability in 45 nm Strained-Si CMOS Technology , 2009, IEEE Journal of Solid-State Circuits.

[5]  A. Kottantharayil Metal-Oxide-Semiconductor Field-Effect-Transistors , 2002 .

[6]  D.A. Antoniadis,et al.  Transistor Performance Scaling: The Role of Virtual Source Velocity and Its Mobility Dependence , 2006, 2006 International Electron Devices Meeting.

[7]  J. Fossum,et al.  Comparison of threshold-voltage shifts for uniaxial and biaxial tensile-stressed n-MOSFETs , 2004, IEEE Electron Device Letters.

[8]  Scott E. Thompson,et al.  Comparison between high-field piezoresistance coefficients of Si metal-oxide-semiconductor field-effect transistors and bulk Si under uniaxial and biaxial stress , 2008 .

[9]  E.J. Nowak,et al.  The effective drive current in CMOS inverters , 2002, Digest. International Electron Devices Meeting,.

[10]  R. Ranica,et al.  A Cost-Effective Low Power Platform for the 45-nm Technology Node , 2006, 2006 International Electron Devices Meeting.

[11]  Liang-Teck Pang,et al.  Impact of Layout on 90nm CMOS Process Parameter Fluctuations , 2006, 2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers..

[12]  J. Edward Pope Rules Of Thumb For Mechanical Engineers: A Manual Of Quick, Accurate Solutions To Everyday Mechanical Engineering Problems , 1996 .

[13]  S. Thompson,et al.  Uniaxial-process-induced strained-Si: extending the CMOS roadmap , 2006, IEEE Transactions on Electron Devices.

[14]  Martin H. Sadd,et al.  Elasticity: Theory, Applications, and Numerics , 2004 .

[15]  Osama M. Nayfeh,et al.  Continuous MOSFET performance increase with device scaling: The role of strain and channel material innovations , 2006, IBM J. Res. Dev..

[16]  C. Ortolland,et al.  Stress Memorization Technique—Fundamental Understanding and Low-Cost Integration for Advanced CMOS Technology Using a Nonselective Process , 2009, IEEE Transactions on Electron Devices.

[17]  M. Lundstrom,et al.  Physics of Carrier Backscattering in One- and Two-Dimensional Nanotransistors , 2009, IEEE Transactions on Electron Devices.