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  • 1Department of Physics, Simon Fraser University, Burnaby, British Columbia, Canada, V5A 1S6.

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Summary
This summary is machine-generated.

This study explores information-to-energy conversion limits in real systems. Feedback control can optimize energy storage rates, enhancing our understanding of these thermodynamic processes.

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Area of Science:

  • Thermodynamics
  • Information Theory
  • Statistical Mechanics

Background:

  • Stochastic thermodynamics investigates the interplay between information and energy.
  • Theoretical advances show the second law of thermodynamics limits information-to-energy conversion.
  • The practical achievability of these theoretical limits in real systems remains an open question.

Purpose of the Study:

  • To explore the limits of information-to-energy conversion in a specific information engine model.
  • To investigate how restricting output energy storage affects conversion efficiency.
  • To determine if feedback control can enhance energy storage rates.

Main Methods:

  • Utilized a simple, experimentally implemented model of an information engine.
  • Analyzed the impact of limited output energy storage on conversion efficiency.
  • Investigated the role of feedback control involving work input.

Main Results:

  • Restricting an information engine's output to stored energy can impede information-to-energy conversion.
  • Feedback control, by inputting work, enables energy storage at the maximum achievable rate.
  • The study quantifies the limitations imposed by output constraints.

Conclusions:

  • The findings provide a refined theoretical understanding of real-world information-to-energy conversion limits.
  • Highlights the critical role of output management and feedback in optimizing such systems.
  • Suggests practical strategies for maximizing energy storage in information engines.