Negative Bias Temperature Instability (NBTI) in p-MOSFETs: Predictive Modeling (Part 3 of 3)

By Souvik Mahapatra

Electrical Engineering, IIT Bombay, India

Published on

Abstract

This is a presentation on Negative Bias Temperature Instability (NBTI), observed in p channel MOSFET devices. Though NBTI has been discovered more than 40 years ago, in the last 10 years it has become a very important reliability concern as the industry moved from thicker SiO2 to thinner SiON gate insulators in order to keep up with Moore's scaling law. The issue is still relevant and also very much exits in the recently introduced HKMG gate stacks.

In part 3, the final part, I will discuss NBTI physical mechanism, and build a simple model to explain measured data obtained from a wide variety of devices during DC stress, recovery following DC stress and during AC stress as a function of frequency and duty cycle. A predictive model for lifetime determination under use condition will also be discussed.

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Researchers should cite this work as follows:

  • Souvik Mahapatra (2012), "Negative Bias Temperature Instability (NBTI) in p-MOSFETs: Predictive Modeling (Part 3 of 3) ," https://nanohub.org/resources/13612.

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Negative Bias Temperature Instability (NBTI) in p-MOSFETs: Predictive Modeling (Part 3 of 3)
  • Negative Bias Temperature Instability (NBTI) in p-MOSFETs (Part 3 of 3) 1. Negative Bias Temperature Inst… 0
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  • Outline 2. Outline 22.559999465942383
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  • Outline 3. Outline 142.1309986114502
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  • NBTI Experimental Signatures (1) 4. NBTI Experimental Signatures (… 147.03199863433838
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  • NBTI Experimental Signatures (2) 5. NBTI Experimental Signatures (… 251.54300022125244
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  • NBTI Degradation Model 6. NBTI Degradation Model 342.7529993057251
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  • H-H2 Reaction Diffusion (R-D) Model 7. H-H2 Reaction Diffusion (R-D) … 487.94399356842041
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  • Physics of Reaction (Breaking of Si-H Bonds) 8. Physics of Reaction (Breaking … 560.93399143218994
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  • H – H2 RD Model: Mathematical Formulation 9. H – H2 RD Model: Mathematica… 723.663987159729
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  • H – H2 RD Model Parameters 10. H – H2 RD Model Parameters 783.54398822784424
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  • NBTI Degradation Components 11. NBTI Degradation Components 838.28498935699463
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  • Device Details – Prediction of NBTI 12. Device Details – Prediction … 927.8149881362915
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  • Prediction of UF-OTF NBTI Degradation (SiON) 13. Prediction of UF-OTF NBTI Degr… 989.3049898147583
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  • Device Dependent Parameters 14. Device Dependent Parameters 1028.514988899231
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  • Prediction of NBTI Components (SiON) 15. Prediction of NBTI Components … 1195.2049913406372
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  • Prediction of NBTI Components (HKMG) 16. Prediction of NBTI Components … 1280.2949876785278
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  • H – H2 RD Model: Analytical Solution (Long time) 17. H – H2 RD Model: Analytical … 1393.9349870681763
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  • Very Long Time Degradation 18. Very Long Time Degradation 1476.3249864578247
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  • Simplified NBTI Degradation Model (Long Time) 19. Simplified NBTI Degradation Mo… 1540.9049882888794
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  • Prediction of UF-OTF NBTI Degradation (SiON) 20. Prediction of UF-OTF NBTI Degr… 1592.9849901199341
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  • Prediction of OTF NBTI Degradation (SiON) 21. Prediction of OTF NBTI Degrada… 1619.9549894332886
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  • Device Dependent Parameters (SiON, Simple Model) 22. Device Dependent Parameters (S… 1645.3659887313843
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  • Conventional OTF Measurement Results 23. Conventional OTF Measurement R… 1702.4759893417358
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  • NBTI Temperature Activation 24. NBTI Temperature Activation 1751.29598903656
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  • Voltage Acceleration & Projection 25. Voltage Acceleration & Project… 1865.1159887313843
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  • Projection: Long Time Degradation 26. Projection: Long Time Degradat… 1995.7059850692749
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  • Prediction of UF-OTF NBTI Degradation (HKMG) 27. Prediction of UF-OTF NBTI Degr… 2051.2759847640991
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  • Device Dependent Parameters (HKMG, Simple Model) 28. Device Dependent Parameters (H… 2092.9659833908081
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  • Summary – Model for NBTI DC Stress 29. Summary – Model for NBTI DC … 2129.365984916687
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  • Outline 30. Outline 2250.4659833908081
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  • NBTI Experimental Signatures (1) 31. NBTI Experimental Signatures (… 2290.5569829940796
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  • NBTI Experimental Signatures (2) 32. NBTI Experimental Signatures (… 2352.3079824447632
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  • NBTI Recovery Model 33. NBTI Recovery Model 2460.2179861068726
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  • Prediction of Recovery Transients 34. Prediction of Recovery Transie… 2548.5679845809937
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  • Prediction of Recovery Transients 35. Prediction of Recovery Transie… 2629.107985496521
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  • Modification of R-D Framework 36. Modification of R-D Framework 2707.0279836654663
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  • Prediction of NBTI Recovery – Material Dependence 37. Prediction of NBTI Recovery   2850.9179830551147
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  • AC Degradation – Duty Cycle and Frequency 38. AC Degradation – Duty Cycle … 2938.2879858016968
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  • Renormalization of AC Degradation 39. Renormalization of AC Degradat… 3070.8479833602905
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  • Prediction of Duty Cycle Dependence 40. Prediction of Duty Cycle Depen… 3146.9679861068726
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  • Trap Generation – Duty Cycle Dependence 41. Trap Generation – Duty Cycle… 3273.5179891586304
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  • NBTI Frequency (In)dependence 42. NBTI Frequency (In)dependence 3358.2189855575562
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  • RD solution: NBTI Frequency Independence 43. RD solution: NBTI Frequency In… 3512.1389837265015
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  • Summary – Model for NBTI Recovery & AC Stress 44. Summary – Model for NBTI Rec… 3568.1499853134155
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  • Outline 45. Outline 3689.5799856185913
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  • Conclusions 46. Conclusions 3697.4999856948853
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  • Outlook 47. Outlook 3796.7199869155884
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