About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Discovery and Design of Materials
|
| Presentation Title |
First Principles Data Assisted Investigation of Spin Ordering in Spinel Ni1−xZnxFe2O4 Crystal |
| Author(s) |
Ying Fang, Guofeng Wang |
| On-Site Speaker (Planned) |
Guofeng Wang |
| Abstract Scope |
Incorporation of diamagnetic Zn at the tetrahedral sublattice in spinel Ni1-xZnxFe2O4 has been established to increase occupancy of magnetic Fe at the octahedral sublattice while diluting magnetic superexchange interaction between the two sublattices. Herein, a first principles data assisted computational study was performed to predict the variation of ground-state spin ordering and saturation magnetization as a function of Zn content in Ni1-xZnxFe2O4. Specifically, twenty-three superexchange constants were derived from a dataset containing the energies and magnetic moments predicted from density functional theory calculations and used in a greedy-search algorithm to identify the ground-state spin ordering of spinel crystal at an atomic scale. The predicted saturation magnetization of Ni1-xZnxFe2O4 exhibited an increase with increasing Zn content up to 0.594 and then a decrease with further increased Zn content. More importantly, computational results reveal that high Zn content could lead to a collapse in ferrimagnetic spin ordering in Ni1-xZnxFe2O4 crystal. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Magnesium, Magnetic Materials |