By its very nature, the second law of thermodynamics is probabilistic, in that its formulation
requires a probabilistic description of the state of a system. This raises questions about the …

Over the last two decades ratchet mechanisms have transformed the understanding and
design of stochastic molecular systems—biological, chemical and physical—in a move away …

The first comprehensive graduate-level introduction to stochastic thermodynamics
Stochastic thermodynamics is a well-defined subfield of statistical physics that aims to …

Biomolecular systems like molecular motors or pumps, transcription and translation
machinery, and other enzymatic reactions, can be described as Markov processes on a …

We build a rigorous nonequilibrium thermodynamic description for open chemical reaction
networks of elementary reactions. Their dynamics is described by deterministic rate …

We show that a rate of conditional Shannon entropy reduction, characterizing the learning of
an internal process about an external process, is bounded by the thermodynamic entropy …

One of the most fascinating features of biological systems is the ability to sustain high
accuracy of all major cellular processes despite the stochastic nature of underlying chemical …

Living cells use readout molecules to record the state of receptor proteins, similar to
measurements or copies in typical computational devices. But is this analogy rigorous? Can …

Biological organisms must perform computation as they grow, reproduce and evolve.
Moreover, ever since Landauer's bound was proposed, it has been known that all …

Information processing at the molecular scale is limited by thermal fluctuations. This can
cause undesired consequences in copying information since thermal noise can lead to …