Magnetic evidence for hot superconductivity in multi-walled carbon nanotubes
Guo-meng Zhao, Pieder Beeli

TL;DR
This study presents magnetic evidence of superconductivity in multi-walled carbon nanotubes at temperatures exceeding 500 K, including a transition at about 1200 K, suggesting potential for high-temperature superconducting applications.
Contribution
The paper provides the first magnetic measurements indicating superconductivity above room temperature in multi-walled carbon nanotubes, with clear transitions and exclusion of magnetic impurities as causes.
Findings
Superconducting transition between 533 K and 700 K.
Another transition observed at about 1200 K.
Diamagnetic Meissner fractions of 2% and 14%.
Abstract
We report magnetic measurements up to 1200 K on three different multi-walled carbon nanotube mat samples using Quantum Design vibrating sample magnetometers. Three different samples prepared from arc discharge or chemical vapor deposition contain magnetic impurities ranging from about 100 ppm to about 1.5%. Our precise magnetic data clearly show two superconducting transitions, one at temperatures between 533 K and 700 K, and another at about 1200 K. The first transition temperature T_cJ, which coincides with the transition temperature seen in the resistance data, depends very strongly on the magnetic field, as expected from the onset of intergrain Josephson coupling in granular superconductors. The strong field dependence of T_cJ also excludes magnetic contaminants as the origin of the first transition. We also present direct and inferred diamagnetic Meissner fractions of 2 and 14%,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Diamond and Carbon-based Materials Research · Force Microscopy Techniques and Applications
