可重构三维超导纳米结构中的涡旋运动
Vortex motion in reconfigurable three-dimensional superconducting nanoarchitectures
AI总结：
本研究利用三维纳米图案化技术制备超导纳米结构，证实三维超导涡旋的存在与运动及几何限域导致的涡旋弯曲，观测到临界场的几何各向异性并实现超导态与正常态的可重构共存，揭示了可通过几何限域操控的三维涡旋态纳米超导中间区间，为相关量子技术等提供调控新路径。
摘要：
当材料被制备成三维图案时，人们可借助复杂度提升、对称性破缺以及曲率与非平凡拓扑的引入，定制并创造全新的功能特性。对于超导纳米结构而言，向第三维度的拓展可能会催生新的物理现象，同时推动相关技术的进步。本研究利用三维（3D）纳米图案化技术，制备了一种三维超导纳米结构并对其涌现特性进行调控。我们不仅通过实验证实了三维结构中超导涡旋的存在与运动，还结合模拟发现，几何限域效应会使涡旋在结构体积内发生明确的弯曲。此外，我们实验观测到临界场存在显著的几何各向异性，借此实现了该三维超导结构中超导态与正常态的可重构共存，以及弱连接的局域限定。由此我们揭示了纳米超导的一个中间区间，该区间内的涡旋态具备真正的三维特性，可通过几何限域进行设计与操控。这项关于三维几何结构对超导特性影响的研究成果，为未来计算器件、传感器及量子技术的局域可重构调控提供了新的路径。
英文摘要：
When materials are patterned in three dimensions, there exist opportunities to tailor and create functionalities associated with an increase in complexity, the breaking of symmetries, and the introduction of curvature and non-trivial topologies. For superconducting nanostructures, the extension to the third dimension may trigger the emergence of new physical phenomena, as well as advances in technologies. Here, we harness three-dimensional (3D) nanopatterning to fabricate and control the emergent properties of a 3D superconducting nanostructure. Not only are we able to demonstrate the existence and motion of superconducting vortices in 3D but, with simulations, we show that the confinement leads to a well-defined bending of the vortices within the volume of the structure. Moreover, we experimentally observe a strong geometrical anisotropy of the critical field, through which we achieve the reconfigurable coexistence of superconducting and normal states in our 3D superconducting architecture, and the local definition of weak links. In this way, we uncover an intermediate regime of nanosuperconductivity, where the vortex state is truly three-dimensional and can be designed and manipulated by geometrical confinement. This insight into the influence of 3D geometries on superconducting properties offers a route to local reconfigurable control for future computing devices, sensors, and quantum technologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
