MIT 2.57 Nano-to-Micro Transport Processes, Spring 2012

Instructor: Prof. Gang ChenView the complete course: http://ocw.mit.edu/2-5
Course Created by Massachusetts Institute of Technology
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Instructor: Prof. Gang Chen
View the complete course: ocw.mit.edu/2-57S12

This course aims at a fundamental understanding of descriptive tools for energy and heat transport processes, from nanoscale to macroscale. Student will further learn the applications in nanotechnology and microtechnology.

License: Creative Commons BY-NC-SA
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Course Outline

Chapter 1: MIT 2.57 Nano-to-Micro Transport Processes, Spring 2012

  • Lesson 1
    1. Intro to Nanotechnology,…
    01:18:11
  • Lesson 2
    2. Characteristic Time and …
    01:20:35
  • Lesson 3
    3. Schrödinger Equation a…
    01:20:35
  • Lesson 4
    4. Solutions to Schröding…
    01:22:12
  • Lesson 5
    5. Electronic Levels in One…
    01:20:06
  • Lesson 6
    6. Crystal Bonding & Electr…
    01:20:18
  • Lesson 7
    7. Phonon Energy Levels in …
    01:22:02
  • Lesson 8
    8. Density of States and St…
    01:21:20
  • Lesson 9
    9. Specific Heat and Planck…
    01:18:41
  • Lesson 10
    10. Fundamental of Statisti…
    01:18:20
  • Lesson 11
    11. Energy Transfer by Wave…
    01:21:35
  • Lesson 12
    12. EM Waves: Reflection at…
    01:21:28
  • Lesson 13
    13. EM Wave Propagation Thr…
    01:15:25
  • Lesson 14
    14. Wave Phenomena and Land…
    01:21:32
  • Lesson 15
    15. Particle Description, L…
    01:19:20
  • Lesson 16
    16. Fermi Golden Rule and R…
    01:20:52
  • Lesson 17
    17. Solutions to Boltzmann …
    01:21:58
  • Lesson 18
    18. Electron Transport and …
    01:22:25
  • Lesson 19
    19. Classical Size Effects,…
    01:20:33
  • Lesson 20
    20. Classical Size Effects,…
    01:20:03
  • Lesson 21
    21. Slip Condition, Coupled…
    01:21:02
  • Lesson 22
    22. PN Junction, Diode and …
    01:20:41
  • Lesson 23
    23. Liquids: Brownian Motio…
    01:23:27
  • Lesson 24
    24. Electrical Double Layer…
    01:17:38
  • Lesson 25
    25. Statistical Foundation …
    01:24:06

  •   Lifetime access to all lessons!
  •   30 days money back guarantee!
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