Tuning the performance of a micrometer-sized Stirling engine through reservoir engineering
نویسندگان
چکیده
Colloidal heat engines are paradigmatic models to understand the conversion of into work in a noisy environment - domain where biological and synthetic nano/micro machines function. While operation these across thermal baths is well-understood, how they function with noise statistics that non-Gaussian also lacks memory, simplest departure from equilibrium, remains unclear. Here we quantified performance colloidal Stirling engine operating between an engineered \textit{memoryless} bath Gaussian one. In quasistatic limit, functioned like equilibrium one as predicted by theory. On increasing speed, due nature statistics, onset irreversibility for preceded its counterpart thus shifted speed at which power maximum. The can be tuned altering only reservoir statistics.
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ژورنال
عنوان ژورنال: Nature Communications
سال: 2021
ISSN: ['2041-1723']
DOI: https://doi.org/10.1038/s41467-021-25230-1