Optimizing autonomous thermal machines powered by energetic coherence

Autor: Kenza Hammam, Yassine Hassouni, Rosario Fazio, Gonzalo Manzano
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: New Journal of Physics, Vol 23, Iss 4, p 043024 (2021)
Druh dokumentu: article
ISSN: 1367-2630
50973649
DOI: 10.1088/1367-2630/abeb47
Popis: The characterization and control of quantum effects in the performance of thermodynamic tasks may open new avenues for small thermal machines working in the nanoscale. We study the impact of coherence in the energy basis in the operation of a small thermal machine which can act either as a heat engine or as a refrigerator. We show that input coherence may enhance the machine performance and allow it to operate in otherwise forbidden regimes. Moreover, our results also indicate that, in some cases, coherence may also be detrimental, rendering optimization of particular models a crucial task for benefiting from coherence-induced enhancements.
Databáze: Directory of Open Access Journals