Structures and magnetic properties of iron silicide from adaptive genetic algorithm and first-principles calculations
Journal Article
·
· Journal of Applied Physics
- Ames Lab. and Iowa State Univ., Ames, IA (United States); Zhejiang Univ. of Technology, Hangzhou (China)
- Ames Lab. and Iowa State Univ., Ames, IA (United States); Xiamen Univ. (China)
- Ames Lab. and Iowa State Univ., Ames, IA (United States)
- Ames Lab. and Iowa State Univ., Ames, IA (United States); Northwestern Polytechnical Univ., Xi'an (China)
- Ames Lab. and Iowa State Univ., Ames, IA (United States); Renmin Univ. of China, Beijing (China)
We performed a systematic search for low-energy structures of binary iron silicide over a wide range of compositions using the crystal structure prediction method based on adaptive genetic algorithm. 36 structures with formation energies within 50 meV/atom (11 of them are within 20 meV) above the convex hull formed by experimentally known stable structures are predicted. Magnetic properties of these low-energy structures are investigated. Some of these structures can be promising candidates for rare-earth-free permanent magnet.
- Research Organization:
- Ames Laboratory (AMES), Ames, IA (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC02-07CH11358
- OSTI ID:
- 1477239
- Alternate ID(s):
- OSTI ID: 1464664
- Report Number(s):
- IS-J-9758
- Journal Information:
- Journal of Applied Physics, Vol. 124, Issue 7; ISSN 0021-8979
- Publisher:
- American Institute of Physics (AIP)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 6 works
Citation information provided by
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