64 citations · 160 across the 5 of their papers we have counts for
5 papers
Bayesian information engine that optimally exploits noisy measurements
Tushar K. Saha, Joseph N. E. Lucero, Jannik Ehrich +2
We have experimentally realized an information engine consisting of an optically trapped, heavy bead in water. The device raises the trap center after a favorable "up" thermal fluc…
Maximal fluctuation exploitation in Gaussian information engines
Joseph N. E. Lucero, Jannik Ehrich, John Bechhoefer +1
Understanding the connections between information and thermodynamics has been among the most visible applications of stochastic thermodynamics. While recent theoretical advances ha…
Maximizing power and velocity of an information engine
Tushar K. Saha, Joseph N. E. Lucero, Jannik Ehrich +2
Information-driven engines that rectify thermal fluctuations are a modern realization of the Maxwell-demon thought experiment. We introduce a simple design based on a heavy colloid…
Nonequilibrium Energy Transduction in Stochastic Strongly Coupled Rotary Motors
Emma Lathouwers, Joseph N. E. Lucero, David A. Sivak
Living systems at the molecular scale are composed of many constituents with strong and heterogeneous interactions, operating far from equilibrium, and subject to strong fluctuatio…
Optimal Control of Rotary Motors
Joseph N. E. Lucero, Aliakbar Mehdizadeh, David A. Sivak
Single-molecule experiments have found near-perfect thermodynamic efficiency in the rotary motor F1-ATP synthase. To help elucidate the principles underlying nonequilibrium energet…