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We introduce an alternative route for obtaining reliable cyclic engines,based on interacting Brownian particles under time-periodic drivings. Generalexpressions for the thermodynamic fluxes, such as power and heat, are obtainedusing the framework of Stochastic Thermodynamics. Several protocols foroptimizing the engine performance are considered, by looking at systemparameters such as the output forces and their phase-difference. We study bothwork-to-work and heat-to-work engines. Our results suggest that carefullydesigned interactions between particles can lead to more efficient engines.

Obtaining efficient thermal engines from interacting Brownian particles under time dependent periodic drivings