YoVDO

Electronic, Optical, and Magnetic Properties of Materials

Offered By: Massachusetts Institute of Technology via edX

Tags

Electrical Engineering Courses Quantum Mechanics Courses Solid-State Physics Courses

Course Description

Overview

This course from MIT’s Department of Materials Science and Engineering introduces the fundamental principles of quantum mechanics, solid state physics, and electricity and magnetism. We use these principles to describe the origins of the electronic, optical, and magnetic properties of materials, and we discuss how these properties can be engineered to suit particular applications, including diodes, optical fibers, LEDs, and solar cells.

In this course, you will find out how the speed of sound is connected to the electronic band gap, what the difference is between a metal and a semiconductor, and how many magnetic domains fit in a nanoparticle. You will explore a wide range of topics in the domains of materials engineering, quantum mechanics, solid state physics that are essential for any engineer or scientist who wants to gain a fuller understanding of the principles underlying modern electronics.


Syllabus

Part 1: Lattice Vibrations

  • Hamiltonian Mechanics
  • Vibrations in Crystals–Phonons
  • Elastic Bandgap

Part 2: Quantum Mechanics

  • Schrödinger’s Equation
  • 1-Dimensional Problems
  • Measurements—The Ehrenfest Theorem
  • Three Dimensions—Hydrogen Atom

Part 3: Electronic Band Structures

  • Periodic Potential
  • Central Equation
  • Understanding Band Diagrams
  • Engineering conductivity in Semiconductors

Part 4: Solid-State Devices

  • PN Junctions
  • Solar Cells
  • LEDs

Part 5: Optical Properties

  • Wave Equation
  • E/M Waves at Interfaces
  • Photonic Crystals

Part 6: Introduction to Magnetism

  • Classification of Magnets
  • Hysteresis in Ferromagnetic Materials
  • Magnetic Domains

Taught by

Polina Anikeeva

Tags

Related Courses

Active Optical Devices
University of Colorado Boulder via Coursera
Advanced Converter Control Techniques
University of Colorado Boulder via Coursera
Algorithms for Battery Management Systems
University of Colorado System via Coursera
Approximation Methods
University of Colorado Boulder via Coursera
Aprendiendo Python con circuitos digitales
Coursera Project Network via Coursera