Ab-initio superfluid weight and superconducting penetration depth
Kaja H. Hiorth, Martin Gutierrez-Amigo, Th\'eo Cavignac, Kristjan Haule, Miguel A.L. Marques, P\"aivi T\"orm\"a

TL;DR
This paper introduces a computational framework to calculate the superfluid weight from density functional theory, aiding superconductor discovery by capturing both conventional and quantum geometric contributions.
Contribution
It develops an efficient method to compute superfluid weight from first principles, including quantum geometric effects, validated on conventional superconductors.
Findings
Good agreement with experimental penetration depths after corrections.
Conventional band curvature dominates in wide-band materials.
Framework enables large-scale superconductor screening.
Abstract
Machine learning and high-throughput screening approaches to superconductor discovery require physically meaningful descriptors that capture essential physics while remaining computationally tractable. The superfluid weight is an ideal descriptor as it is a prerequisite for superconductivity, determines the magnetic penetration depth and the Berezinskii-Kosterlitz-Thouless transition temperature in two-dimensional materials, may limit the critical temperature in unconventional superconductors through phase coherence, and reveals quantum geometric contributions to supercurrent transport. We develop a computationally efficient framework for calculating the zero-temperature, mean-field superfluid weight for uniform pairing from density functional theory band structures and Bloch wavefunctions. We separately evaluate the conventional contribution from band curvature and the geometric…
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Taxonomy
TopicsSuperconductivity in MgB2 and Alloys · Iron-based superconductors research · Physics of Superconductivity and Magnetism
