Bodge: Python package for efficient tight-binding modeling of superconducting nanostructures

TL;DR

Bodge is an open-source Python package that enables efficient construction of large-scale, real-space tight-binding models for superconducting nanostructures, focusing on ease of use and extensibility.

Contribution

It introduces a flexible, easy-to-use Python tool specifically optimized for modeling large superconducting nanostructures with tight-binding Hamiltonians.

Findings

Supports lattices with millions of atoms

Handles heterostructures with various superconducting and magnetic materials

Requires very few lines of code for complex models

Abstract

Bodge is a free and open-source Python package for constructing large-scale real-space tight-binding models for calculations in condensed matter physics. "Large-scale" means that it should remain performant even for lattices with millions of atoms, and "real-space" means that the model is formulated in terms of individual lattice sites and not in momentum space, for example. Although general tight-binding models can be constructed with this package, the main focus is on the Bogoliubov-De Gennes ("BoDGe") Hamiltonian used to model superconductivity in the clean limit. The package is designed to be easy to use, flexible, and extensible - and very few lines of code are required to model heterostructures containing, e.g., conventional and unconventional superconductors, ferromagnets and antiferromagnets, altermagnetism, and spin-orbit coupling. In other words: If you want a lattice model for superconducting nanostructures, and want something that is computationally efficient yet easy to use, Bodge should be a good choice.