Published July 17, 2024 | Version v1

Integration of High-Tc Superconductors with High-Q-Factor Oxide Mechanical Resonators (Dataset)

  • 1. ROR icon Superconducting and other Innovative Materials and Devices Institute
  • 2. ROR icon Chalmers University of Technology
  • 3. ROR icon RISE Research Institutes of Sweden
  • 4. ROR icon University of Genoa

Description

Micro-mechanical resonators are building blocks of a variety of applications in basic science and consumer electronics. This device technology is mainly based on well-established and reproducible silicon-based fabrication processes with outstanding performances in term of mechanical Q-factor and sensitivity to external perturbations. Broadening the functionalities of micro-electro-mechanical systems (MEMS) by the integration of functional materials is a key step for both applied and fundamental science. However, combining functional materials with silicon-based devices is challenging. An alternative approach is directly fabricating MEMS based on compounds inherently showing non-trivial functional properties, such as transition metal oxides. Here, a full-oxide approach is reported, where a high-Tc superconductor YBa2Cu3O7 (YBCO) is integrated with high Q-factor micro-bridge resonators made of single-crystal LaAlO3 (LAO) thin films. LAO resonators are tensile strained, with a stress of about 350 MPa, show a Q-factor above 200k, and have low roughness. YBCO overlayers are grown ex situ by pulsed laser deposition and YBCO/LAO bridges show zero resistance below 78 K and mechanical properties similar to those of bare LAO resonators. These results open new possibilities toward the development of advanced transducers, such as bolometers or magnetic field detectors, as well as experiments in solid state physics, material science, and quantum opto-mechanics.

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Additional details

Related works

Is supplement to
Journal article: 10.1002/adfm.202403155 (DOI)
Preprint: arXiv:2401.12758 (arXiv)

Funding

European Commission
OXiNEMS - Oxide Nanoelectromechanical Systems for Ultrasensitive and Robust Sensing of Biomagnetic Fields 828784

Software

Programming language
Python