从原子到材料:预测理论和模拟

From Atoms to Materials: Predictive Theory and Simulations

Learn how materials look and work at atomic scales.

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普渡大学
edX
  • 完成时间大约为 10
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Principles of classical and quantum mechanics and their application to describe materials at atomic scales

Statistical mechanics to connect the atomistic and macroscopic worlds

How to use density functional theory and molecular dynamics to predict materials properties and processes

课程概况

Explore this five-unit course and discover a unified framework for understanding the essential physics that govern materials at atomic scales. You’ll then be able to relate these processes to the macroscopic world.

The course starts with an introduction to quantum mechanics and its application to understand the electronic structure of atoms and the nature of the chemical bond. After a brief description of the electronic and atomic structures of molecules and crystals, the course discusses atomic motion in terms of normal modes and phonons, as well as using molecular dynamics simulations.

Finally, principles of statistical mechanics are introduced and used to relate the atomic world to macroscopic properties.

Throughout the course, students will use online simulations in nanoHUB to apply the concepts learned to interesting materials and properties; these simulations will involve density functional theory and molecular dynamics.

课程大纲

Unit 1: Quantum Mechanics and Electronic Structure

Unit 2: Electronic Structure and Bonding of Molecules and Crystals

Unit 3: Dynamics of Atoms: Classical Mechanics and MD Simulations

Unit 4: Connecting Atomic Processes to the Macroscopic World – Vibrations, Optical, and Dielectric Response, Thermo-mechanical Properties

Unit 5:  Advanced Topics and Case Studies. Density functional theory; reactive molecular dynamics, and more.

预备知识

Any student or professional with a background in engineering or physical science should be able to take this course. We will assume students know basic classical physics (e.g. Newton’s equations, and electrostatics) and college-level math (calculus and algebra).

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