First-principles real-space embedding theory of the superconducting proximity effect
Nicolas Ba\`u, Mitra Dowlatabadi, Tommaso Chiarotti, Massimo Capone, Antimo Marrazzo

TL;DR
This paper introduces a first-principles Green's-function framework for simulating the superconducting proximity effect at realistic interfaces, enabling detailed analysis of mesoscopic systems.
Contribution
It develops a real-space dynamical embedding method that allows predictive, atomistic simulations of superconducting proximity effects in complex materials and heterostructures.
Findings
Quantitative analysis of proximity lengths extending over hundreds of nanometers.
Application to topological insulators with mixed-parity superconductivity.
First-principles simulations of NbSe2/CrBr3 heterostructures matching experimental data.
Abstract
When a superconductor is placed in contact with a normal material, Cooper pairs penetrate the latter and induce superconductivity via the proximity effect. Despite its central role in quantum materials, superconducting devices and topological platforms, a predictive first-principles description of the proximity effect at realistic interfaces has remained computationally prohibitive so far. Here, we fill this gap by developing a Green's-function framework based on real-space dynamical embedding that enables first-principles simulations of superconducting proximity in mesoscopic systems. We show that the proximity effect admits a transparent diagrammatic formulation in terms of normal and anomalous embedding self-energies, which disentangle and quantify the distinct renormalization mechanisms generated by coupling to a superconducting bath. By combining this formalism with recursive…
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