1 / 38

Quantum Hydrodynamic Modeling, Numerical Methods, and Applications Semiconductor Transistors

交通大學數學建模與科學計算研究中心. Quantum Hydrodynamic Modeling, Numerical Methods, and Applications Semiconductor Transistors. Jinn-Liang Liu 劉晉良 National Hsinchu Univ. of Edu. 新竹教育大學 Jan. 25-27, 2010. Classical Computer. Microprocessor. Microchips. MOSFET. Transistor

esme
Télécharger la présentation

Quantum Hydrodynamic Modeling, Numerical Methods, and Applications Semiconductor Transistors

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 交通大學數學建模與科學計算研究中心 Quantum Hydrodynamic Modeling, Numerical Methods, and Applications Semiconductor Transistors Jinn-Liang Liu 劉晉良 National Hsinchu Univ. of Edu. 新竹教育大學 Jan. 25-27, 2010

  2. Classical Computer Microprocessor Microchips MOSFET

  3. Transistor The most important invention of the 20th century? A transistor is an electronic device used as a switch or to amplify an electric current or voltage.

  4. 1930 First Transistor Patent Filed by J. E. Lilienfeld in 1926

  5. The First Transistor Invented at Bell Labs in 1947

  6. The original version of the paper was rejected for publication by Physical Review on the referee's unimaginative assertion that it was 'too speculative' and involved 'no new physics.' Received his Ph.D. at University of Tokyo in 1959, Esaki was awarded the Nobel Prize in 1973 for research conducted around 1958 on electron quantum tunneling (Esaki Diode). 假設20歲年輕人之創造力是100%、辨別力是0%,70歲老年人創造力是0%、辨別力是100%,人生分歧點是45歲。分析諾貝爾獎得主獲獎事由和年齡關聯性,會發現得獎人年齡大多集中於35歲至39歲時,而我於44歲發明人造量子結構。

  7. MOSFET (Metal Oxide Semiconductor Field Effect Transistor)

  8. Semiconductor A semiconductor is a material that can behave as a conductor or an insulator depending on what is done to it. We can control the amount of current that can pass through a semiconductor. Kingfisher Science Encyclopedia

  9. Czochralski Crystal Growth

  10. Sand Ingot Wafer Doping IC 12吋矽晶圓 Gold Ingots Silicon Ingot

  11. Silicon Crystal

  12. Si Si Si Extra Si As Si Si Si Si - Doping Impurities (n-Type) Conducting band, Ec Ed ~ 0.05 eV Electron Eg = 1.1 eV Valence band, Ev

  13. Conducting band, Ec Si Si Si Hole Eg = 1.1 eV Si B Si Ea ~ 0.05 eV Si Si Si - Valence band, Ev Electron Doping Impurities (p-Type)

  14. S. Roy and A. Asenov, Science 2005 MOSFET (Metal Oxide Semiconductor Field Effect Transistor) 2003 L = 4 nm Research 2005 L = 45 nm Production 2018 L = 7 nm Production 3D, 30nm x 30nm

  15. Gate Length: 90 nm (2005 In Production) (Device Size) 65 nm (2006 In Production) 34 nm (This Talk)

  16. Device Sizes Vs. Models

  17. Self-Adjoint Energy Transport Model (Chen & Liu, JCP 2003) Quantum Corrected Energy Transport Model (Chen & Liu, JCP 2005) L=IJ=34nm

  18. Doping Concentration

  19. Energy Transport Model • electrostatic potential • n electron density • p hole density • J current density • S energy flux • E electric field • R generation- recombination rate

  20. Auxiliary Relationships

  21. Self-Adjoint Formulation New Variables

  22. Bohm’s Quantum Potential

  23. Self-Adjoint QCET Model

  24. Singularly Perturbed QCET Model(Liu, Lee, & Chen, 2009 Preprint) Dimensionless Scaling • Nano devices extremely singular • Boundary layer • Junction layer • Quantum potential layer

  25. Adaptive Algorithm Finite Element Method Monotone Iteration Exponential Fitting

  26. The Final Adaptive Mesh

  27. Electron Temperature

  28. Hole Quantum Potential

  29. Electron Current Density

  30. Drain Current for MOSFET

  31. Alternative Future MOS

  32. MOS Scaling Challenges • Technology Scaling Parasitic Effects: Leakage, Capacitance, Risistance • Power Limits: End of Voltage Scaling • Band-Structure Engineering • Scattering: e-insulator, e-imp, e-ph, e-e • Dopant Atom Fluctuations • Non-Equilibrium Electron & Phonon Distrb. • Long Range Coulomb Interactions • Full-Band Bias-Induced Quantization • Phonon Transport Models • Automatic Multi-Scale Computing

  33. MOS Simulation Challenges

  34. Conclusion • Self-Adjoint QCET Model: More Advanced • Technology Scaling Challenges in Physics and Engineering • Muti-Scaling Modeling and Numerical Methods • High-Performance Architecture, Algorithms, and Coding

More Related