All Publications

  • Maximizing power and velocity of an information engine PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Saha, T. K., Lucero, J. E., Ehrich, J., Sivak, D. A., Bechhoefer, J. 2021; 118 (20)


    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 colloidal particle, held by an optical trap and immersed in water. Using a carefully designed feedback loop, our experimental realization of an "information ratchet" takes advantage of favorable "up" fluctuations to lift a weight against gravity, storing potential energy without doing external work. By optimizing the ratchet design for performance via a simple theory, we find that the rate of work storage and velocity of directed motion are limited only by the physical parameters of the engine: the size of the particle, stiffness of the ratchet spring, friction produced by the motion, and temperature of the surrounding medium. Notably, because performance saturates with increasing frequency of observations, the measurement process is not a limiting factor. The extracted power and velocity are at least an order of magnitude higher than in previously reported engines.

    View details for DOI 10.1073/pnas.2023356118

    View details for Web of Science ID 000656222000009

    View details for PubMedID 33972432

    View details for PubMedCentralID PMC8157929

  • Maximal fluctuation exploitation in Gaussian information engines PHYSICAL REVIEW E Lucero, J., Ehrich, J., Bechhoefer, J., Sivak, D. 2021; 104 (4): 16
  • Nonequilibrium Energy Transduction in Stochastic Strongly Coupled Rotary Motors JOURNAL OF PHYSICAL CHEMISTRY LETTERS Lathouwers, E., Lucero, J. E., Sivak, D. A. 2020; 11 (13): 5273-5278


    Living systems at the molecular scale are composed of many constituents with strong and heterogeneous interactions, operating far from equilibrium, and subject to strong fluctuations. These conditions pose significant challenges to efficient, precise, and rapid free energy transduction, yet nature has evolved numerous molecular machines that do just this. Using a simple model of the ingenious rotary machine FoF1-ATP synthase, we investigate the interplay between nonequilibrium driving forces, thermal fluctuations, and interactions between strongly coupled subsystems. This model reveals design principles for effective free energy transduction. Most notably, while tight coupling is intuitively appealing, we find that output power is maximized at intermediate-strength coupling, which permits lubrication by stochastic fluctuations with only minimal slippage.

    View details for DOI 10.1021/acs.jpclett.0c01055

    View details for Web of Science ID 000547468400051

    View details for PubMedID 32501698

  • Optimal control of rotary motors PHYSICAL REVIEW E Lucero, J. E., Mehdizadeh, A., Sivak, D. A. 2019; 99 (1): 012119


    Single-molecule experiments have found near-perfect thermodynamic efficiency in the rotary motor F_{1}-ATP synthase. To help elucidate the principles underlying nonequilibrium energetic efficiency in such stochastic machines, we investigate driving protocols that minimize dissipation near equilibrium in a simple model rotary mechanochemical motor, as determined by a generalized friction coefficient. Our simple model has a periodic friction coefficient that peaks near system energy barriers. This implies a minimum-dissipation protocol that proceeds rapidly when the system is overwhelmingly in a single macrostate but slows significantly near energy barriers, thereby harnessing thermal fluctuations to kick the system over energy barriers with minimal work input. This model also manifests a phenomenon not seen in otherwise similar nonperiodic systems: Sufficiently fast protocols can effectively lap the system. While this leads to a trade-off between accuracy of driving and energetic cost, we find that our designed protocols outperform naive protocols.

    View details for DOI 10.1103/PhysRevE.99.012119

    View details for Web of Science ID 000455686300002

    View details for PubMedID 30780326