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Review of high-throughput computational design of Heusler alloys
- Source :
- Journal of Alloys and Compounds. 867:158854
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- As one large family of intermetallic compounds, Heusler compounds offer a wide playground for novel materials design because of their wide range of compositions and tunable materials properties. In recent years, the high-throughput computational design has emerged as one efficient approach to search for target materials with desired properties thanks to the development of the automatic framework for materials discovery and open-access quantum materials database. In this article, we present a review of the current research progress of the high-throughput computational design of Heusler-based functional materials, including the selection of appropriate materials descriptors and common methods for evaluating materials stability, along with comprehensive lists of the predicated Heusler compounds with various types of target properties. We conclude the review with a discussion of the potential future research directions in the field.
- Subjects :
- Computer science
Mechanical Engineering
Metals and Alloys
Stability (learning theory)
02 engineering and technology
Materials design
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Field (computer science)
0104 chemical sciences
Mechanics of Materials
Materials Chemistry
Systems engineering
Computational design
0210 nano-technology
Throughput (business)
Subjects
Details
- ISSN :
- 09258388
- Volume :
- 867
- Database :
- OpenAIRE
- Journal :
- Journal of Alloys and Compounds
- Accession number :
- edsair.doi...........11595f025e58c2befee2a4d517f309a8