Nonlinear Vortex Dynamics in Superconductors with Anisotropic Pinning Nanostructures
具有各向异性钉扎纳米结构的超导体中的非线性涡动力学
基本信息
- 批准号:200044433
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2011
- 资助国家:德国
- 起止时间:2010-12-31 至 2014-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The fabrication of uniaxial or bianisotropic pinning structures in thin films opens up a controlled pathway to govern the mixed-state resistive response of type-II superconductors with a perspective of using it for fluxonics applications, i. e. manipulating single vortices similar to electrons in nano- and microelectronics. Moreover, such films provide a model system with fully predictable properties within a state-of-the-art theoretical approach of describing the nonlinear vortex dynamics under the influence of anisotropic pinning. The deduction of anisotropic pinning potential parameters from resistivity data will allow for the first time to answer the following questions: In which frequency range is a harmonic generation most pronounced? How can one optimize special (bianisotropic and asymmetric-ratchet) nanostructures to provide the most suitable pinning potential characteristics for microwave device fabrication? Is there an interference effect between the Hall- and the ratchet-effect? In order to answer these questions an original rotating-current scheme will be used and special methods for asymmetric signal averaging be applied. The expected results are of interest not only for thin-film superconductors but they will be generic to all similar noise-mediated systems subjected to DC and AC current driving.
薄膜中单轴或双各向异性钉钉结构的制造为控制ii型超导体的混合状态电阻响应开辟了一条可控途径,并有望将其用于流体电子学应用,即操纵类似于纳米和微电子中的电子的单涡。此外,这种薄膜在描述各向异性钉住影响下的非线性涡旋动力学的最先进理论方法中提供了具有完全可预测特性的模型系统。从电阻率数据中推导出各向异性钉住电位参数,将首次回答以下问题:在哪个频率范围内谐波产生最明显?如何优化特殊的(双各向异性和不对称棘轮)纳米结构,为微波器件制造提供最合适的钉住电位特性?霍尔效应和棘轮效应之间是否存在干涉效应?为了回答这些问题,将使用原始的旋转电流格式,并采用特殊的非对称信号平均方法。预期的结果不仅对薄膜超导体感兴趣,而且对所有受直流和交流电流驱动的类似噪声介导系统都是通用的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Privatdozent Dr. Oleksandr Dobrovolskiy其他文献
Privatdozent Dr. Oleksandr Dobrovolskiy的其他文献
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374052683 - 财政年份:2017
- 资助金额:
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