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From the 1 of 5 linked papers with an AI index.

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5 papers

physics.bio-ph2026

Information-driven stepping in dimeric transport motors

Antonio Patrón Castro, David A. Sivak

The paper presents a theoretical model for the stepping behavior of dimeric molecular motors, showing how position‑dependent mobility switching enables directed motion as a pure in…

cond-mat.stat-mech2026

Hunting for Maxwell's Demon in the Wild

Johan du Buisson, Jannik Ehrich, Matthew P. Leighton +4

The paradox of Maxwell's demon motivated the development of information thermodynamics and the creation of nanoscale information engines. We now understand that machines such as th…

cond-mat.stat-mech2026

Harnessing higher-dimensional fluctuations in an information engine

Antonio Patrón Castro, John Bechhoefer, David A. Sivak

We study the optimal performance of an information engine consisting of an overdamped Brownian bead confined in a controllable, -dimensional harmonic trap and additionally subje…

cond-mat.stat-mech2026

Information thermodynamics of cellular ion pumps

Julian D. Jiménez-Paz, Matthew P. Leighton, David A. Sivak

The framework of bipartite stochastic thermodynamics is a powerful tool to analyze a composite system's internal thermodynamics. It has been used to study the components of differe…

cond-mat.soft2025

Optimal Control in Soft and Active Matter

José Alvarado, Erin Teich, David Sivak +1

Soft and active condensed matter represent a class of fascinating materials that we encounter in our everyday lives -- and constitute life itself. Control signals interact with the…