Thermodynamic efficiency of self-organisation in NESS (large simulation data)

This repository contains the large datasets accompanying the manuscript:

Qianyang Chen and Mikhail Prokopenko. “Thermodynamic efficiency of self-organisation in nonequilibrium steady states.”  arXiv:2605.04508 (2026)

Overview

This record archives the numerical simulations used to compute the thermodynamic efficiency of two distinct nonequilibrium spin models:

1. Persistent Ising Model (PIM): A nonequilibrium Ising model where detailed balance is broken via a constant bias to the spin-flip dynamics.

2. Active Ising Model (AIM): A two-dimensional active-spin model combining Ising-like alignment with self-propulsion, exhibiting a flocking transition. 

Contents of this Record

1. Source Code: The simulation code is provided in the related Github repository https://github.com/qianyangchen/thermodynamicEfficiencyNoneq

2. Large Datasets: It hosts the high-resolution simulation datasets generated on the National Computational Infrastructure (NCI). These files are provided here in full for complete reproducibility. Smaller datasets are stored in the Github repository and can be visualised directly using the example Jupyter notebook.