Thermodynamics performance optimization of a Lipkin-Meshkov-Glick heat engine model with anisotropy

Heat engine implementation in the atomic or nanoscale involves thermodynamic and quantum properties of the working substance. Interest in the optimization of these quantum effects is driven by the rise of electronic devices in the nanoscale and the search for devices that can power quantum technologies in the future. It has been shown that quantum heat engines outperform their classical counterparts, and several physically realizable engines have been constructed using quantized spin models.