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Contribution to Book
Computational Metallurgy
Physical Metallurgy: Fifth Edition
  • Long-Qing Chen
  • Yijia Gu, Missouri University of Science and Technology
Abstract

This chapter is an overview on computational material science methods applied to understanding the process-microstructure-property relationships of metallic material systems, or computational metallurgy. The emphasis will be on modeling and predicting the stability (thermodynamics) and the temporal/spatial evolution (kinetics) of microstructures, or computational microstructural science using a combination of electronic/atomistic level first-principles calculations of structures and thermodynamic properties of individual structural phases in a microstructure and interfaces and mesoscale microstructure evolution models.

Department(s)
Materials Science and Engineering
Comments
Chapter 27 of Physical Metallurgy (Fifth Edition)
Keywords and Phrases
  • Alloy theoretic automated toolkit (ATAT),
  • Atomic diffusion coefficients,
  • Binary solid solutions,
  • Cluster variation method (CVM),
  • Computational metallurgy,
  • Computational microstructure evolution models,
  • Computer simulation,
  • Elemental crystals,
  • Elemental solids,
  • Finite-temperature thermodynamic properties,
  • Full-potential linearized augmented plane wave (FLAPW),
  • Generalized gradient approximation (GGA),
  • Interfaces,
  • Interfacial energy,
  • Lattice parameter,
  • Local density approximation (LDA),
  • Microscopic diffusion equations,
  • Microstructure,
  • Molecular dynamics (MD),
  • Monte Carlo (MC),
  • Phase transformations,
  • Phase-field method,
  • Single-crystals,
  • Special quasirandom structures (SQS),
  • Stoichiometric compounds,
  • Thermodynamic stability
International Standard Book Number (ISBN)
978-044453771-3; 978-044453770-6
Document Type
Book - Chapter
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 Elsevier Inc., All rights reserved.
Publication Date
12-1-2014
Publication Date
01 Dec 2014
Citation Information
Long-Qing Chen and Yijia Gu. "Computational Metallurgy" Physical Metallurgy: Fifth Edition Vol. 1 (2014) p. 2807 - 2835
Available at: http://works.bepress.com/yijia-gu/36/