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Machine learning assisted screening of two dimensional chalcogenide ferromagnetic materials with Dzyaloshinskii Moriya interaction

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摘要 Magnetic skyrmions are potential candidates for high-density storage and logic devices because of their inherent topological stability and nanoscale size.Two-dimensional(2D)Janus transition metal chalcogenides(TMDs)are widely used to induce skyrmions due to the breaking of inversion symmetry.However,the experimental synthesis of Janus TMDs is rare,which indicates that the Janus configuration might not be the most stable MXY structure.Here,through machine-learning-assisted high-throughput first-principles calculations,we demonstrate that not all MXY compounds can be stabilized in Janus layered structure and a large proportion prefer to form other configurations with lower energy than the Janus configuration.Interestingly,these new configurations exhibit a strong Dzyaloshinskii–Moriya interaction(DMI),which can generate and stabilize skyrmions even under a strong magnetic field.This work provides not only an efficient method for obtaining ferromagnetic materials with strong DMI but also a theoretical guidance for the synthesis of TMDs via experiments.
出处 《npj Computational Materials》 CSCD 2024年第1期761-769,共9页 计算材料学(英文)
基金 supported by the National Program on Key Basic Research Project(Grant No.2022YFB3807601) the National Natural Science Foundation of China(Grant Nos.12302207,12272338 and 12192214) Y.Z.acknowledges the financial support from the National Natural Science Foundation of China(Grant 12102157) computational support fromthe Center for Computational Science and Engineering of Lanzhou University.
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