arXiv · 1801.01004
Structures and magnetic properties of iron silicide from adaptive genetic algorithm and first-principles calculations
Abstract
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.
Explore related subjects
Keep this discovery
Zejin Yang, Shunqing Wu, Xin Zhao, Manh Cuong Nguyen, Shu Yu, Tongqi Wen, Ling Tang, Fuxiang Li, Kai-Ming Ho, Cai-Zhuang Wang. 2018-01-03. Structures and magnetic properties of iron silicide from adaptive genetic algorithm and first-principles calculations. https://doi.org/10.1063/1.5036992
Cite the original work for its findings. Save a collection to share your selection of sources.