Giant Tunneling Magnetoresistance in Mn‐ and V‐Intercalated Graphene/ h ‐BN Based van der Waals Magnetic Tunnel Junctions
Zhi Yan, Jianhua Xiao, Xujin Zhang, Fang Cheng, Xiaohong Xu
Shanxi University Ministry of Education Shanxi Normal University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Atomic intercalation offers a powerful route for engineering 2D materials by precisely tuning interlayer electronic coupling and spin configurations. Here, a strategy is proposed for the construction of fully 2D magnetic tunnel junctions (MTJs) based on transition metal‐intercalated graphene electrodes with h ‐BN barrier layer. First‐principles calculations reveal that intercalation not only stabilizes uniform atomic dispersion via steric hindrance but also induces spin polarization in graphene, which in turn stabilizes the ferromagnetic ground state of the intercalated atoms. Manganese‐ and vanadium‐intercalated systems (Mn‐Gr and V‐Gr) exhibit exceptional spintronic performance, with tunneling magnetoresistance (TMR) showing a pronounced odd‐even oscillation as a function of barrier thickness. A giant TMR of 4.35 × 10 8 % is achieved in the Mn‐Gr system with a monolayer barrier h ‐BN ( n = 1), while V‐Gr reaches a maximum TMR of 1.86 × 10 5 % for a trilayer barrier ( n = 3). Moreover, biaxial strain further enhances the TMR to 10 9 % and 10 7 % in Mn‐Gr and V‐Gr systems, respectively. The devices also exhibit perfect spin filtering and pronounced negative differential resistance, offering new opportunities for high‐performance spintronic and memory applications based on 2D van der Waals heterostructures. Additional GGA+ U calculations ( U = 4 eV, J = 1 eV for Mn and V) confirm that strong on‐site Coulomb interactions further increase the equilibrium TMR values (up to 8.61 × 10 8 % and 4.46 × 10 5 % for Mn‐ and V‐intercalated MTJs, respectively) without altering the main n ‐dependent trends or the qualitative even‐odd transport characteristics, thereby validating the robustness of the key findings.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
材料 / 化学Graphene research and applications
Quantum and electron transport phenomena · Molecular Junctions and Nanostructures
参考文献 61
此处列出前 3 条
引用本文 2
按被引量排序,此处列出前 3 条