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Dataset for "Probing Fermi-surface spin-textures via the nonlinear Shubnikov-de Haas effect"

  • Kazuki Nakazawa (Creator)
  • Henry Legg (Creator)
  • Renato Miguel Alves Dantas (Creator)
  • Jelena Klinovaja (Creator)
  • Daniel Loss (Creator)

Dataset

Description

This repository contains the source code and numerical data used to generate the results presented in the manuscript “Probing Fermi-Surface Spin Textures via the Nonlinear Shubnikov–de Haas Effect.”

LL_NLSdH_2DHG.f90: Main Fortran code used to calculate the density of states (DOS), linear conductivity, and second-order nonlinear conductivity.

analyze_correlation_g60.py: Python script used to evaluate the correlation between σ_xxx and σ_xyy (for Fig. 2(d)).

Fig*.zip: Numerical data associated with each figure are provided in separate ZIP archives.
Date made available8 Sept 2026
PublisherZenodo

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