Atomic-scale mapping of superconductivity in the incoherent CDW mosaic phase of a transition metal dichalcogenide
Sandra Sajan, Haojie Guo, Tarushi Agarwal, Iri\'an, S\'anchez-Ram\'irez, Chandan Patra, Maia G. Vergniory, Fernando de Juan, Ravi, Prakash Singh, Miguel M. Ugeda

TL;DR
This study uses atomic-scale spectroscopy to explore how superconductivity emerges within the complex charge density wave mosaic phase of a transition metal dichalcogenide, revealing the localized nature of the superconducting states.
Contribution
It provides the first atomic-scale characterization of superconductivity in the CDW mosaic phase of 1T-TaSSe, linking electronic structure to superconducting behavior.
Findings
Superconductivity is mainly localized on CDW domains.
Domain walls are less involved in superconductivity.
Superconducting gap shows spatial inhomogeneity unrelated to domain walls.
Abstract
The emergence of superconductivity in the octahedrally coordinated (1T) phase of TaS2 is preceded by the intriguing loss of long-range order in the charge density wave (CDW). Such decoherence, attainable by different methods, results in the formation of nm-sized coherent CDW domains bound by a two-dimensional network of domain walls (DW) - mosaic phase -, which has been proposed as the spatial origin of the superconductivity. Here, we report the atomic-scale characterization of the superconducting state of 1T-TaSSe, a model 1T compound exhibiting the CDW mosaic phase. We use high-resolution scanning tunneling spectroscopy and Andreev spectroscopy to probe the microscopic nature of the superconducting state in unambiguous connection with the electronic structure of the mosaic phase. Spatially resolved conductance maps at the Fermi level at the onset of superconductivity reveal that the…
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
Topics2D Materials and Applications · Graphene research and applications · Machine Learning in Materials Science
