Patterned growth of crystalline Y3Fe5O12 nanostructures with engineered magnetic shape anisotropy
Abstract
We demonstrate patterned growth of epitaxial yttrium iron garnet (YIG) thin films using lithographically defined templates on gadolinium gallium garnet substrates. The fabricated YIG nanostructures yield the desired crystallographic orientation, excellent surface morphology, and narrow ferromagnetic resonance (FMR) linewidth (~4 Oe). Shape-induced magnetic anisotropy is clearly observed in a patterned array of nanobars engineered to exhibit the larger coercivity (40 Oe) compared with that of continuous films. Both hysteresis loop and angle-dependent FMR spectra measurements indicate that the easy axis aligns along the longitudinal direction of the nanobars, with an effective anisotropy field of 195 Oe. Our work overcomes difficulties in patterning YIG thin films and provides an effective means to control their magnetic properties and magnetic bias conditions.
- Authors:
-
- Yale Univ., New Haven, CT (United States)
- Colorado State Univ., Fort Collins, CO (United States)
- The Ohio State Univ., Columbus, OH (United States)
- Publication Date:
- Research Org.:
- Energy Frontier Research Centers (EFRC) (United States). Spins and Heat in Nanoscale Electronic Systems (SHINES); Colorado State Univ., Fort Collins, CO (United States); Univ. of California, Riverside, CA (United States)
- Sponsoring Org.:
- USDOE; National Science Foundation (NSF)
- OSTI Identifier:
- 1473871
- Alternate Identifier(s):
- OSTI ID: 1418598
- Grant/Contract Number:
- SC0012670
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Applied Physics Letters
- Additional Journal Information:
- Journal Volume: 110; Journal Issue: 25; Journal ID: ISSN 0003-6951
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING
Citation Formats
Zhu, Na, Chang, Houchen, Franson, Andrew, Liu, Tao, Zhang, Xufeng, Johnston-Halperin, E., Wu, Mingzhong, and Tang, Hong X. Patterned growth of crystalline Y3Fe5O12 nanostructures with engineered magnetic shape anisotropy. United States: N. p., 2017.
Web. doi:10.1063/1.4986474.
Zhu, Na, Chang, Houchen, Franson, Andrew, Liu, Tao, Zhang, Xufeng, Johnston-Halperin, E., Wu, Mingzhong, & Tang, Hong X. Patterned growth of crystalline Y3Fe5O12 nanostructures with engineered magnetic shape anisotropy. United States. https://doi.org/10.1063/1.4986474
Zhu, Na, Chang, Houchen, Franson, Andrew, Liu, Tao, Zhang, Xufeng, Johnston-Halperin, E., Wu, Mingzhong, and Tang, Hong X. 2017.
"Patterned growth of crystalline Y3Fe5O12 nanostructures with engineered magnetic shape anisotropy". United States. https://doi.org/10.1063/1.4986474. https://www.osti.gov/servlets/purl/1473871.
@article{osti_1473871,
title = {Patterned growth of crystalline Y3Fe5O12 nanostructures with engineered magnetic shape anisotropy},
author = {Zhu, Na and Chang, Houchen and Franson, Andrew and Liu, Tao and Zhang, Xufeng and Johnston-Halperin, E. and Wu, Mingzhong and Tang, Hong X.},
abstractNote = {We demonstrate patterned growth of epitaxial yttrium iron garnet (YIG) thin films using lithographically defined templates on gadolinium gallium garnet substrates. The fabricated YIG nanostructures yield the desired crystallographic orientation, excellent surface morphology, and narrow ferromagnetic resonance (FMR) linewidth (~4 Oe). Shape-induced magnetic anisotropy is clearly observed in a patterned array of nanobars engineered to exhibit the larger coercivity (40 Oe) compared with that of continuous films. Both hysteresis loop and angle-dependent FMR spectra measurements indicate that the easy axis aligns along the longitudinal direction of the nanobars, with an effective anisotropy field of 195 Oe. Our work overcomes difficulties in patterning YIG thin films and provides an effective means to control their magnetic properties and magnetic bias conditions.},
doi = {10.1063/1.4986474},
url = {https://www.osti.gov/biblio/1473871},
journal = {Applied Physics Letters},
issn = {0003-6951},
number = 25,
volume = 110,
place = {United States},
year = {Mon Jun 19 00:00:00 EDT 2017},
month = {Mon Jun 19 00:00:00 EDT 2017}
}
Web of Science
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