Related Experiment Video
Updated: Jun 4, 2025
09:06
Visualizing Uniaxial-strain Manipulation of Antiferromagnetic Domains in Fe1+YTe Using a Spin-polarized Scanning Tunneling Microscope
Published on: March 24, 2019
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Spintronic devices and applications using noncollinear chiral antiferromagnets
Ankit Shukla1, Siyuan Qian1, Shaloo Rakheja1
1Electrical and Computer Engineering, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, USA. rakheja@illinois.edu.
Nanoscale Horizons
|December 20, 2024
Summary
Chiral antiferromagnets, like Mn3Sn, offer unique electrical manipulation for spintronic devices. Their properties enable advanced applications from memory to neuromorphic computing.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Spintronics
Background:
- Antiferromagnetic materials possess unique properties like low magnetization and robustness.
- Current methods for manipulating antiferromagnetic order are not fully electrical.
- Conducting antiferromagnets offer high conductivity and strong spin-phonon interactions.
Purpose of the Study:
- To review the physics and applications of negative chirality antiferromagnets.
- To discuss experimental advances in manipulating antiferromagnetic order.
- To highlight the potential of chiral antiferromagnets in spintronic devices.
Main Methods:
- Review of crystal structures and physical phenomena (e.g., anomalous Hall effect, spin Hall effect).
- Discussion of experimental techniques for spin-orbit torque-induced dynamics.
- Analysis of tunneling magnetoresistance in chiral antiferromagnet tunnel junctions.
Main Results:
- Noncollinear metallic antiferromagnets exhibit spin momentum locking and topological surface states.
- Demonstration of room-temperature tunneling magnetoresistance in chiral antiferromagnets.
- Analytic models are presented for device performance assessment.
Conclusions:
- Chiral antiferromagnets show promise for fully electrical readout spintronic devices.
- Potential applications include memory, signal generators, and neuromorphic computing.
- Further research is needed to fully realize the potential of this rapidly evolving field.
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