Data: Reaching maximum efficiency in quantum Stirling engines using multilayer graphene
Abstract
This repository provides the numerical data and source codes utilized to generate the results presented in the article "Reaching maximum efficiency in quantum Stirling engines using multilayer graphene". Repository Contents: Source Code: Scripts (Wolfram Mathematica) used for the calculation of Landau levels and thermodynamic functions (internal energy, entropy, and self-consistent chemical potential parametrization). Numerical Data: Datasets supporting the figures for efficiency (η), net work (W), and performance maps (ηW) for monolayer, AB-stacked bilayer, and ABC-stacked trilayer graphene under perpendicular magnetic fields. Reference: If you use these data or codes, please cite the original article: DOI: https://doi.org/10.1103/s59t-ygkq
Fields of Study & Subjects
Advanced Thermodynamics and Statistical Mechanics
Advanced Thermodynamic Systems and Engines
Control and Stability of Dynamical Systems
Publication details
- Journal / source
- Physical review. E
- Publication date
- 2 April 2026
- Language
- EN