7 papers
A neural-network Maxwell's demon learns cold damping for work extraction
Stephen Whitelam, Sergio Ciliberto, Ludovic Bellon
We train a neural-network Maxwell's demon to extract work from a model of an underdamped micromechanical cantilever subject to thermal noise. The demon, which periodically adjusts…
First passage time distribution in underdamped harmonic oscillators
Aubin Archambault, Caroline Crauste-Thibierge, Alberto Imparato +2
We derive the distribution of the first passage time for the position of an underdamped harmonic oscillator to overcome a threshold . As the distribution…
First passage time for an underdamped harmonic oscillator and application to the power of an information engine
Aubin Archambault, Caroline Crauste-Thibierge, Alberto Imparato +2
The distribution of the first passage time for the position to overcome a threshold is calculated in an underdamped harmonic oscillator. The proof combines sever…
Fooling the Landauer bound with a demon biased thermal bath
Salambô Dago, Ludovic Bellon
The Landauer principle establishes a fundamental lower bound on the energetic cost of the erasure of a one-bit memory in thermal equilibrium. Here, we experimentally demonstrate ho…
Information engine fueled by first-passage times
Aubin Archambault, Caroline Crauste-Thibierge, Alberto Imparato +3
Using a mechanical cantilever submitted to electrostatic feedback control, we investigate the thermodynamic properties of an information engine that extracts work from thermal fluc…
Learning efficient erasure protocols for an underdamped memory
Nicolas Barros, Stephen Whitelam, Sergio Ciliberto +1
We apply evolutionary reinforcement learning to a simulation model in order to identify efficient time-dependent erasure protocols for a physical realization of a one-bit memory by…