Computational Materials Design

MTLE-4500

This course will provide the background and a set of examples of how computational methods can be applied to design of materials with desired structure and properties. The methods will span multi-length and time scales, including first-principles approaches, molecular dynamics simulations, stochastic methods for optimization and sampling, and computational thermodynamics. Lectures will be complemented by computer labs with hands-on exercises using publicly available or commercial software packages.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Computational Materials Design (3c)
  • Paul George Keblinski
Seats Taken: 0/28
2022
Computational Materials Design (3c)
  • Liping Huang
Seats Taken: 22/30
2021
Computational Materials Design (3c)
  • Paul George Keblinski
Seats Taken: 19/35
2020
Computational Materials Design (3c)
  • Liping Huang
Seats Taken: 38/35
2019
Computational Materials Design (3c)
  • Paul George Keblinski
Seats Taken: 37/40
Computational Materials Design (3c)
  • Paul George Keblinski
Seats Taken: 23/35
2018
Computational Materials Design (3c)
  • Liping Huang
Seats Taken: 34/40
2017
Computational Materials Design (3c)
  • Liping Huang
Seats Taken: 36/35
2016
Computational Materials Design (3c)
  • Liping Huang
Seats Taken: 42/45
2015
Computational Materials Design (3c)
  • Theresa Marie Sommer
  • Liping Huang
Seats Taken: 23/32
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