ArticleNature communications2021
Escape dynamics of active particles in multistable potentials.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states.Nature communications · 2025Article
- Tunable on-chip optical traps for levitating particles based on single-layer metasurface.Nanophotonics (Berlin, Germany) · 2024Article
- Memory Corrections to Markovian Langevin Dynamics.Entropy (Basel, Switzerland) · 2024Article
- Optimal escapes in active matter.The European physical journal. E, Soft matter · 2024Article
- Role of translational noise on current reversals of active particles on ratchet.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rare transitions between long-lived metastable states underlie a great variety of physical, chemical and biological processes. Our quantitative understanding of reactive mechanisms has been driven forward by the insights of transition state theory and in particular by Kramers' dynamical framework. Its predictions, however, do not apply to systems that feature non-conservative forces or correlated noise histories. An important class of such systems are active particles, prominent in both biology and nanotechnology. Here, we study the active escape dynamics of a silica nanoparticle trapped in a bistable potential. We introduce activity by applying an engineered stochastic force that emulates self-propulsion. Our experiments, supported by a theoretical analysis, reveal the existence of an optimal correlation time that maximises the transition rate. We discuss the origins of this active turnover, reminiscent of the much celebrated Kramers turnover. Our work establishes a versatile experimental platform to study single particle dynamics in non-equilibrium settings.
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Registered trials
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