Magnetism of new metastable cobalt-nitride compounds
| Autor: | Sumit Beniwal, Xingzhong Li, Yunlong Jin, Kai-Ming Ho, Axel Enders, Anandakumar Sarella, Ralph Skomski, Shah R. Valloppilly, Xin Zhao, Balamurugan Balasubramanian, Cai-Zhuang Wang, Huibo Cao, Haohan Wang, David J. Sellmyer, Xiaoshan Xu |
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| Rok vydání: | 2018 |
| Předmět: |
Materials science
Magnetism Intermetallic chemistry.chemical_element 02 engineering and technology Nitride 021001 nanoscience & nanotechnology Magnetocrystalline anisotropy 01 natural sciences Magnetization chemistry Chemical physics Metastability 0103 physical sciences General Materials Science 010306 general physics 0210 nano-technology Anisotropy Cobalt |
| Zdroj: | Nanoscale. 10(27) |
| ISSN: | 2040-3372 |
| Popis: | The search for new magnetic materials with high magnetization and magnetocrystalline anisotropy is important for a wide range of applications including information and energy processing. There is only a limited number of naturally occurring magnetic compounds that are suitable. This situation stimulates an exploration of new phases that occur far from thermal-equilibrium conditions, but their stabilization is generally inhibited due to high positive formation energies. Here a nanocluster-deposition method has enabled the discovery of a set of new non-equilibrium Co–N intermetallic compounds. The experimental search was assisted by computational methods including adaptive-genetic-algorithm and electronic-structure calculations. Conventional wisdom is that the interstitial or substitutional solubility of N in Co is much lower than that in Fe and that N in Co in equilibrium alloys does not produce materials with significant magnetization and anisotropy. By contrast, our experiments identify new Co–N compounds with favorable magnetic properties including hexagonal Co3N nanoparticles with a high saturation magnetic polarization (Js = 1.28 T or 12.8 kG) and an appreciable uniaxial magnetocrystalline anisotropy (K1 = 1.01 MJ m−3 or 10.1 Mergs per cm3). This research provides a pathway for uncovering new magnetic compounds with computational efficiency beyond the existing materials database, which is significant for future technologies. |
| Databáze: | OpenAIRE |
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