4.6 Review

Simulation and Modeling in High Entropy Alloys

Journal

JOM
Volume 69, Issue 11, Pages 2137-2149

Publisher

SPRINGER
DOI: 10.1007/s11837-017-2524-2

Keywords

-

Funding

  1. Programme Atraccion de talento investigador (Consejeria de Educacion, Juventud y Deporte, Comunidad de Madrid) [2016-T2/IND-1693]
  2. Foundation of Polish Science Grant HOMING [Homing/2016-1/12]
  3. European Union under the European Regional Development Fund
  4. Interdisciplinary Centre for Mathematical and Computational Modelling (ICM), University of Warsaw [GA69-30]
  5. Euratom research and training programme [633053]
  6. RCUK Energy Programme [EP/P012450/1]
  7. UK Engineering and Physical Sciences Research Council (EPSRC) [EP/L025213/1]
  8. EPSRC [EP/L025213/1] Funding Source: UKRI
  9. Engineering and Physical Sciences Research Council [EP/L025213/1] Funding Source: researchfish

Ask authors/readers for more resources

High entropy alloys (HEAs) is a fascinating field of research, with an increasing number of new alloys discovered. This would hardly be conceivable without the aid of materials modeling and computational alloy design to investigate the immense compositional space. The simplicity of the microstructure achieved contrasts with the enormous complexity of its composition, which, in turn, increases the variety of property behavior observed. Simulation and modeling techniques are of paramount importance in the understanding of such material performance. There are numerous examples of how different models have explained the observed experimental results; yet, there are theories and approaches developed for conventional alloys, where the presence of one element is predominant, that need to be adapted or re-developed. In this paper, we review of the current state of the art of the modeling techniques applied to explain HEAs properties, identifying the potential new areas of research to improve the predictability of these techniques.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available