Dynamics of a colloidal particle driven by continuous time-delayed feedback.

Phys Rev E

Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QZ, United Kingdom.

Published: June 2023

We perform feedback experiments and simulations in which a colloidal dumbbell particle, acting as a particle on a ring, is followed by a repulsive optical trap controlled by a continuous-time-delayed feedback protocol. The dynamics are described by a persistent random walk similarly to that of an active Brownian particle, with a transition from predominantly diffusive to driven behavior at a critical delay time. We model the dynamics in the short and long delay regimes using stochastic delay differential equations and derive a condition for stable driven motion. We study the stochastic thermodynamic properties of the system, finding that the maximum work done by the trap coincides with a local minimum in the mutual information between the trap and the particle position at the onset of stable driven dynamics.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.107.064601DOI Listing

Publication Analysis

Top Keywords

stable driven
8
particle
5
dynamics
4
dynamics colloidal
4
colloidal particle
4
driven
4
particle driven
4
driven continuous
4
continuous time-delayed
4
time-delayed feedback
4

Similar Publications

Medical loss ratio's role in the large group insurer market.

Am J Manag Care

January 2025

Schaeffer Center for Health Policy & Economics, University of Southern California, 635 Downey Way, Verna & Peter Dauterive Hall, Los Angeles, CA 90089. Email:

Objectives: To assess trends in the medical loss ratio (MLR) and understand how health insurance premiums in the large group market are driven by medical claims spending and insurer margins.

Study Design: Study of approximately 500 insurers covering more than 40 million lives annually in the large group market that submitted an MLR submission form (2014-2022).

Methods: We assessed trends in the MLR, premiums, medical claims spending, administrative costs, quality improvement spending, and margins among all insurers in the large group market.

View Article and Find Full Text PDF

Oppenauer-type oxidations are catalyzed by air- and moisture-stable, sustainable, (cyclopentadienone)iron carbonyl compounds, but the substrate scope is limited due to the low reduction potential of acetone, which is the most commonly used hydrogen acceptor. We discovered that furfural, an aldehyde derived from cellulosic biomass, is an effective hydrogen acceptor with this class of catalysts. In general, reactions using furfural as the hydrogen acceptor led to higher isolated yields of ketones and aldehydes compared to those using acetone.

View Article and Find Full Text PDF

The discovery of moiré physics in two-dimensional (2D) materials has opened new avenues for exploring unique physical and chemical properties induced by intralayer/interlayer interactions. This study reports the experimental observation of moiré patterns in 2D bismuth oxyselenide (BiOSe) nanosheets grown through one-pot chemical reaction methods and a sonication-assisted layer separations technique. Our findings demonstrate that these moiré patterns result from the angular stacking of the nanosheets at various twist angles, leading to the formation of moiré superlattices (MSLs) with distinct periodicities.

View Article and Find Full Text PDF

Background: Severe and critical COVID-19 is characterized by pulmonary viral infection with SARS-CoV-2 resulting in local and systemic inflammation. Dexamethasone (DEX) has been shown to improve outcomes in critically ill patients; however, its effect on tissue remodeling, particularly collagen turnover, remains unclear. This study investigated the association between circulating extracellular matrix (ECM) remodeling neo-epitopes and COVID-19 severity, their relationship with mortality, and the effect of DEX on these markers.

View Article and Find Full Text PDF

Water quality management is a critical aspect of environmental sustainability, particularly in arid and semi-arid regions such as Iran where water scarcity is compounded by quality degradation. This study delves into the causal relationships influencing water quality, focusing on Total Dissolved Solids (TDS) as a primary indicator in the Karkheh River, southwest Iran. Utilizing a comprehensive dataset spanning 50 years (1968-2018), this research integrates Machine Learning (ML) techniques to examine correlations and infer causality among multiple parameters, including flow rate (Q), Sodium (Na), Magnesium (Mg), Calcium (Ca), Chloride (Cl), Sulfate (SO), Bicarbonates (HCO), and pH.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!