Magnetism of vacancies and edge states in graphene probed by electron spin resonance and scanning tunneling spectroscopy

通过电子自旋共振和扫描隧道光谱探测石墨烯中空位和边缘态的磁性

基本信息

项目摘要

We aim at a comprehensive understanding of spin interactions in graphene using well-defined magnetic defects as spin centers. The system is regarded as a paradigm for defect induced mag-netism, which is a controversially discussed subject in the literature [1-3]. While the Dirac point resonance and the paramagnetism of individual vacancies are experimentally well established for graphene, a systematic and quantitative study of their mutual interactions is missing. Based on a recent experiment where we have found a clear signature of preferential antiferromagnetic coupling between the vacancies [A1], we propose a systematic study by a combination of electron spin resonance and scanning tunneling spectroscopy including noise spectroscopy. We will determine the coupling constants as a function of electron density and vacancy density of graphene on various substrates using global electron spin resonance measurements. Moreover, we aim at a local detection of effective exchange interactions and resonance signals using scanning probe techniques. We will, moreover, develop the vacancies into zig-zag edges by controlled oxidation probing their spin properties by the same techniques. The resulting comprehensive understanding of spin coupling properties within graphene might serve as a blueprint for other systems with disordered magnetic impurities.
我们的目标是在石墨烯中使用定义明确的磁缺陷作为自旋中心的自旋相互作用的全面理解。该系统被认为是缺陷诱导磁性的范例,这是文献[1-3]中有争议的讨论主题。虽然狄拉克点共振和单个空位的顺磁性在实验上已经很好地建立在石墨烯上,但是缺少对它们之间相互作用的系统和定量研究。基于最近的一个实验,我们发现了一个明确的签名之间的优先反铁磁耦合的空缺[A1],我们提出了一个系统的研究相结合的电子自旋共振和扫描隧道光谱,包括噪声光谱。我们将使用全局电子自旋共振测量来确定作为各种衬底上石墨烯的电子密度和空位密度的函数的耦合常数。此外,我们的目标是在本地检测有效的交换相互作用和共振信号,使用扫描探针技术。此外,我们将通过控制氧化将空位发展成锯齿形边缘,用同样的技术探测它们的自旋性质。由此产生的对石墨烯内自旋耦合特性的全面理解可能会成为其他具有无序磁性杂质的系统的蓝图。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Evidence for Local Spots of Viscous Electron Flow in Graphene at Moderate Mobility.
  • DOI:
    10.1021/acs.nanolett.1c01145
  • 发表时间:
    2021-03
  • 期刊:
  • 影响因子:
    10.8
  • 作者:
    S. Samaddar;J. Strasdas;Kevin Janßen;Sven Just;T. Johnsen;Zhenxing Wang;B. Uzlu;Sha Li;D. Neumaier;M. Liebmann;M. Morgenstern
  • 通讯作者:
    S. Samaddar;J. Strasdas;Kevin Janßen;Sven Just;T. Johnsen;Zhenxing Wang;B. Uzlu;Sha Li;D. Neumaier;M. Liebmann;M. Morgenstern
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Dr. Vladislav Kataev其他文献

Dr. Vladislav Kataev的其他文献

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{{ truncateString('Dr. Vladislav Kataev', 18)}}的其他基金

Electron spin resonance spectroscopy on complex iridium oxides
复杂氧化铱的电子自旋共振光谱
  • 批准号:
    260000137
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Electron spin resonance and magnetic studies
电子自旋共振和磁研究
  • 批准号:
    166261098
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
    Research Units
Magnetic resonance in semiconductors
半导体中的磁共振
  • 批准号:
    64100679
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Research Units
Studies of complex supramolecular spin clusters and spin chains in high magnetic fields
高磁场中复杂超分子自旋簇和自旋链的研究
  • 批准号:
    5430415
  • 财政年份:
    2004
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes

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    2020
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Developing models for CALPHAD-type phase diagrams that directly consider the effect of structural point defects
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Systematic understanding of oxygen vacancies and prediction by machine learning
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