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Measuring Magnetically-Tuned Ferroelectric Polarization in Liquid Crystals
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Ferroelectrically Switchable Anomalous Hall Conductivity and Nonlinear Drude Conductivity in Multiferroics.
Xinran Liu1, Hong Jian Zhao1,2,3, Laurent Bellaiche4,5
1Jilin University, Key Laboratory of Material Simulation Methods and Software of Ministry of Education, College of Physics, Changchun 130012, China.
Physical Review Letters
|December 5, 2025
Summary
Researchers developed a theory to identify multiferroic materials for energy-efficient data storage. They found that specific materials like YMnO3 and LuFeO3 exhibit switchable anomalous Hall conductivity (AHC) or nonlinear Drude conductivity (NDC) for data readout.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Solid State Physics
Background:
- Ferroelectric polarization enables nonvolatile data recording with energy-efficient writing via electric field switching.
- Detecting ferroelectric polarization for data readout is possible in ferroelectric or multiferroic tunnel junctions.
- In single-phase multiferroics, ferroelectric polarization detection via switchable anomalous Hall conductivity (AHC) or nonlinear Drude conductivity (NDC) is theoretically anticipated but lacks selection rules.
Purpose of the Study:
- To establish a theory for ferroelectrically switchable AHC and NDC in multiferroics using a group-theory-based approach.
- To provide a symmetry classification of polar magnetic point groups (MPGs) concerning ferroelectrically switchable AHC or NDC.
- To identify multiferroic materials exhibiting these transport phenomena for potential memory device applications.
Main Methods:
- Utilized a group-theory-based approach to develop a theoretical framework.
- Classified polar magnetic point groups (MPGs) based on symmetry properties related to AHC and NDC.
- Employed first-principles simulations to validate theoretical predictions.
Main Results:
- Developed a theory for ferroelectrically switchable AHC and NDC in multiferroics.
- Provided a symmetry classification of MPGs for identifying suitable multiferroics.
- Identified YMnO3 and LuFeO3 as materials exhibiting ferroelectrically switchable NDC and AHC, respectively.
- Confirmed the presence of multiferroic altermagnets with switchable AHC or NDC.
Conclusions:
- The developed theory and classification enable the identification of multiferroics for novel memory devices.
- YMnO3 and LuFeO3 are promising candidates for multiferroic memory devices leveraging AHC and NDC.
- This work facilitates the development of energy-efficient data storage technologies based on multiferroic transport phenomena.
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