6 papers
Neural optimization of the most probable paths of 3D active Brownian particles
Bin Zheng, Zhongqiang Xiong, Changhao Li +7
We develop a variational neural-network framework to determine the most probable path (MPP) of a 3D active Brownian particle (ABP) by directly minimizing the Onsager-Machlup integr…
Stochastic cloaking: concealing a region from diffusive particles
Connor Roberts, Ziluo Zhang, Helder Rojas +4
We introduce "stochastic cloaking," where a region of space is concealed from an ensemble of diffusing particles whose individual trajectories are governed by a stochastic (Langevi…
Thermally driven two-sphere microswimmer with internal feedback control
Jun Li, Ziluo Zhang, Zhanglin Hou +4
We discuss the locomotion of a thermally driven elastic two-sphere microswimmer with internal feedback control that is realized by the position-dependent friction coefficients. In…
Ornstein-Uhlenbeck information swimmers with external and internal feedback controls
Zhanglin Hou, Ziluo Zhang, Jun Li +2
Using an underdamped active Ornstein-Uhlenbeck particle, we propose two information swimmer models having either external or internal feedback control and perform their numerical s…
Time-correlation functions of stochastic three-sphere micromachines
Jun Li, Ziluo Zhang, Zhanglin Hou +3
We discuss and compare the statistical properties of two stochastic three-sphere micromachines, i.e., odd micromachine and thermal micromachine. We calculate the steady state time-…
Field Theory of Active Brownian Particles with Dry Friction
Ziluo Zhang, Shurui Yuan, Shigeyuki Komura
We present a field theoretic approach to capture the motion of a particle with dry friction for one- and two-dimensional diffusive particles, and further expand the framework for t…