Wang, Y., Sun, H., Wu, C., Zhang, W., Guo, S., She, Y., & Li, P. (2024). Multifield tunable valley splitting and anomalous valley Hall effect in two-dimensional antiferromagnetic MnBr. arXiv preprint arXiv:2411.06682.
This study investigates the electronic and magnetic properties of monolayer MnBr to explore its potential for valleytronic applications. The authors aim to demonstrate the existence of spontaneous valley polarization and the tunability of the anomalous valley Hall effect in this material.
The researchers employed density functional theory (DFT) calculations using the Vienna Ab initio Simulation Package (VASP). They considered various magnetic configurations, including ferromagnetic (FM) and antiferromagnetic (AFM) states, and incorporated spin-orbit coupling (SOC) to accurately model the electronic band structure. The effects of onsite correlation, strain, magnetization rotation, electric field, built-in electric field, and ferroelectric substrate on valley splitting were systematically investigated.
Monolayer MnBr emerges as a promising candidate for valleytronic devices due to its spontaneous valley polarization and the highly tunable anomalous valley Hall effect. The study highlights the potential of utilizing various external stimuli, including strain, electric fields, and ferroelectric substrates, to manipulate valleytronic properties in this material.
This research significantly contributes to the field of valleytronics by identifying a novel 2D material with robust and tunable valleytronic properties. The findings pave the way for developing energy-efficient, non-volatile, and high-speed valleytronic devices based on monolayer MnBr.
The study primarily relies on theoretical calculations. Experimental validation of the predicted valleytronic properties in monolayer MnBr is crucial for future device applications. Further research could explore the integration of monolayer MnBr into practical device architectures and investigate its performance characteristics for specific valleytronic functionalities.
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by Yiding Wang,... at arxiv.org 11-12-2024
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