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Published on: August 15, 2018
Electrical Control of Magnetic Resonance in Phase Change Materials
Tian-Yue Chen1, Haowen Ren1, Nareg Ghazikhanian2
1Center for Quantum Phenomena, Department of Physics, New York University, New York, New York 10003, United States.
Metal-insulator transitions in La0.7Sr0.3MnO3 alter magnetic properties even below critical bias. This voltage-triggered tuning of magnetic resonance offers a new method for neuromorphic circuit applications.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Spintronics
Background:
- Metal-insulator transitions (MITs) in resistive switching materials involve significant electrical response changes.
- Distinct magnetic characteristics in these phases lead to altered spin excitations.
- La0.7Sr0.3MnO3 (LSMO) exhibits a ferromagnetic metallic state at low temperatures and a paramagnetic insulating state above room temperature.
Purpose of the Study:
- To investigate the magnetic phase separation and spin excitation resonances in LSMO under electrical bias.
- To explore the potential of voltage-triggered MITs for tuning magnetic resonance characteristics.
- To assess the applicability of these findings for neuromorphic circuit applications.
Main Methods:
- Spin-transfer ferromagnetic resonance (ST-FMR) spectroscopy was employed.
- Electrical bias was applied to LSMO samples below the critical MIT threshold.
- Systematic variation of spin-excitation resonances with applied bias was analyzed.
Main Results:
- Magnetic phase separation was observed in LSMO even for electrical biases below the critical value for MIT.
- Spin-excitation resonances showed systematic variations correlated with the applied electrical bias.
- Voltage-triggered MITs were demonstrated to effectively alter magnetic resonance characteristics.
Conclusions:
- Electrical bias can induce magnetic phase separation and tune magnetic resonance in LSMO below the MIT critical bias.
- These findings provide an effective method for tuning synaptic weights in neuromorphic circuits.
- The study highlights the interplay between electrical stimuli, MITs, and magnetic properties in advanced materials.
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