English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The study of Brownian ratchets has taught how time-periodic driving supportsa time-periodic steady state that generates nonequilibrium transport. When asingle particle is transported in one dimension, it is possible to rationalizethe current in terms of the potential, but experimental efforts have venturedbeyond that single-body case to systems with many interacting carriers. Workingwith a lattice model of volume-excluding particles in one dimension, we analyzethe impact of interactions on a flashing ratchet's current. To surmount themany-body problem, we employ the time-dependent variational principle with abinary tree tensor network, methods discussed at length in a companion paper.Rather than propagating individual trajectories, the tensor network approachpropagates a distribution over many-body configurations via a controllablevariational approximation. The calculations, which reproduce Gillespietrajectory sampling, identify and explain a shift in the frequency of maximumcurrent to higher driving frequency as the lattice occupancy increases.

Using tensor network states for multi-particle Brownian ratchets