Statistical Mechanics of active polymers:

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We have theoretically calculated the reconfiguration time for a single flexible polymer in the presence of active noise. The study suggests that although the mean square displacement grows faster, the chain reconfiguration is always slower in the presence of long-lived active noise with exponential temporal correlation. Similar behavior is observed for a worm-like semiflexible chain and a Zimm chain. However, it is primarily the characteristic correlation time of the active noise—and not its strength—that controls the increase in the reconfiguration time. In brief, such active noise makes the polymer move faster, but the correlation loss between the monomers becomes slower. More recently, we have analyzed the dynamics of a tagged monomer subjected to both Gaussian and non-Gaussian active noise, revealing that an intermediate-time superdiffusive motion emerges due to activity. Very recently, our theoretical predictions have been confirmed experimentally.