Competition between phonon mediated superconductivity and carriers localization in field-effect doped molybdenum dichalcogenides
Giovanni Marini, Matteo Calandra

TL;DR
This study uses advanced first-principles calculations to investigate superconductivity in doped molybdenum dichalcogenides, revealing that carrier localization and disorder, rather than charge density waves, limit the critical temperature.
Contribution
It provides a comprehensive theoretical analysis accounting for sample thickness and anharmonicity, clarifying the pairing mechanism and the cause of Tc saturation in these materials.
Findings
Charge density waves are ruled out as the cause of Tc saturation.
Electron-phonon coupling is suppressed by an order of magnitude, aligning with experimental data.
Carrier localization and disorder explain the Tc saturation phenomenon.
Abstract
Superconductivity occurs in electrochemically doped molybdenum dichalcogenides samples thicker than four layers. While the critical temperature (Tc) strongly depends on the field effect geometry (single or double gate) and on the sample (MoS2 or MoSe2), Tc always saturates at high doping. The pairing mechanism and the complicate dependence of Tc on doping, samples and field-effect geometry are currently not understood. Previous theoretical works assumed homogeneous doping of a single layer and attributed the Tc saturation to a charge density wave instability, however the calculated values of the electron-phonon coupling in the harmonic approximation were one order of magnitude larger than the experimental estimates based on transport data. Here, by performing fully relativistic first principles calculations accounting for the sample thickness, the field-effect geometry and…
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 · Machine Learning in Materials Science · Physics of Superconductivity and Magnetism
