Atomera Incorporated · NASDAQ:ATOM

Atomera — Technical Presentation (December 2017)

18 slides from Atomera's technical presentation, Dec 4, 2017

  1. Slide 1: Reducing Statistical Variability in Conventional "Bulk" CMOS

    Reducing Statistical Variability in Conventional "Bulk" CMOS Asen Asenov University of Glasgow Synopsys Semiwise 1

  2. Slide 2: Statistical MOSFET variability

    Statistical MOSFET variability 2

  3. Slide 3: Numerical simulations of statistical MOSFET variability

    Numerical simulations of statistical MOSFET variability 1998 3

  4. Slide 4: Dopants closely to the interface determine the statistical MOSFET variability

    Dopants closely to the interface determine the statistical MOSFET variability A. Asenov, IEEE TED, 98 4

  5. Slide 5: Both number and positions of dopants matter

    Both number and positions of dopants matter VT = 0.55 V VT = 0.78 V C2 5

  6. Slide 6: Variability trends

    Variability trends 40 CMOS matching T1010 10/1 10/0.25 0.2/4 210.18 5% 5 20 0.4/10 2/1 0.4/1 S waft 0.5 um NMOS A aioe (mV) § | 0.18 pm NMOS 5 90 nm NMOS 519 af Gorn Intel, IEDM 2014 3 ~ 0 pt a a Sr = inmV 13dnm 90nm 65nm 45nm 32nm 22nm 14nm 0 : Figure 7: Random Varation Trend (oVt) 00 02 04 06 08 1

  7. Slide 7: Reduction of statistical variability in epitaxial delta doped MOSFETS

    Reduction of statistical variability in epitaxial delta doped MOSFETS 1999 A. Asenov, IEEE TED, 99 7

  8. Slide 8: Reduction of statistical variability in epitaxial delta doped MOSFETS

    Reduction of statistical variability in epitaxial delta doped MOSFETS A. Asenov, IEEE TED, 99 8

  9. Slide 9: Other sources of statistical variability

    Other sources of statistical variability Random dopants Metal gate or Polysilicon Line edge roughness Granularity A. Asenov, IEEE TED, 03 9

  10. Slide 10: The 3D 'atomistic' simulations are predictive – 40 nm

    The 3D ‘atomistic’ simulations are predictive – 40 nm Collaboration with ST Microelectronics 10

  11. Slide 11: The 3D 'atomistic' simulations are predictive – 40 nm

    The 3D ‘atomistic’ simulations are predictive – 40 nm AVT=2.8 Collaboration with ST Microelectronics 11

  12. Slide 12: Variability at the ultimate bulk CMOS scaling (20 nm)

    Variability at the ultimate bulk CMOS scaling (20 nm) 12

  13. Slide 13: Epitaxial channel transistors – 20 nm CMOS

    Epitaxial channel transistors – 20 nm CMOS Conventional Channel first Channel last 13

  14. Slide 14: Epitaxial channel transistors – 20 nm CMOS

    Epitaxial channel transistors – 20 nm CMOS Conventional Channel first Channel last C2 2.22 1.91 1.06 14

  15. Slide 15: Epitaxial channel transistors – CL + back doping

    Epitaxial channel transistors – CL + back doping C2 15

  16. Slide 16: Strong interplay between statistical variability and statistical reliability

    Strong interplay between statistical variability and statistical reliability

  17. Slide 17: Mobility improvement

    Mobility improvement 1 . 1 . L L L ‘ 800 — CL Template a S Ss T l Electron Mobility [om’/Vs| s =) Ng=7.7x10"7 cm? y =) i=) T N4=8.4x10"7 cm | 02 04 06 08 1.0 ph Vos {Vv} Ege [Mv/em]

  18. Slide 18: MST: Mechanism and Benefits

    MST®: Mechanism and Benefits • Both NMOS and PMOS Dopant Engineering Mobility Enhancement 1019 350 • Idsat and Gm enhanced Boron concentration (cm-3) Post-STI after 1010C 10s MST Electron Mobility (cm2/V•s) 300 • Gate Leakage reduced Precision Doping Profiles control 1018 250 • 200 • Variability red

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