COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Dragging with minimum effort - Optimal control protocols for particles with self-propulsion and memory
Dragging with minimum effort - Optimal control protocols for particles with self-propulsion and memoryAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. SSDW06 - Stochastic Systems in Active Matter Dragging a harmonic trap containing a single particle over a given distance in finite time is an elementary problem arising in experiments, theory and engineering applications. For a passive particle in a viscous medium, it is known that the optimal dragging protocol requiring the least amount of work has two symmetric jumps at the beginning and end. We show analytically, and confirm experimentally with light-trapped colloids in viscoelastic fluids [1], that time-reversal symmetry is an inherent property of this control problem. This symmetry holds universally for all types of media describable by a linear generalised Langevin equation, independent of the properties of the memory kernel and the coloured noise, including glassy, granular and active media. We further show that the optimal protocols for active particles are the same as for passive particles, while the work fluctuations are always increased [2]. [1] Loos, Monter, Ginot, Bechinger, Phys. Rev. X 14 , 021032 (2024).[2] Garcia-Millan, Schüttler, Cates, Loos, ArXiv:2407.18542 (2024). This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsType the title of a new list here Cambridge Area Worm Meeting Engineering Without Borders CambridgeOther talksQuantum Groups Tutorial Images of mathematics/realities of mathematics in AI Studies of the reionization-era intergalactic and circumgalactic media using cosmological simulations Wheeler Lecture 2024: Supercharging the Human Mind With AI Governance and Smart Policing in Kerala, India: Towards a Kerala Model of Algorithmic Governance? Title TBC |