Data: Reaching maximum efficiency in quantum Stirling engines using multilayer graphene

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Authors: Bastián Castorene, Francisco J. Peña, Eric Suarez Morell, Caio Lewenkopf, HvE Groves Martin, Natalia Cortés, Patricio Vargas
Cited by: 1

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