Active Brownian particles in external force fields: field-theoretical models, generalized barometric law, and programmable density patterns

Orientation-dependent propulsion of active Brownian spheres: from self-advection to programmable cluster shapes

Applications of active particles require a method for controlling their dynamics. While this is typically achieved via direct interventions, indirect interventions based, e.g., on an orientation-dependent self-propulsion speed of the particles, become increasingly popular. In this work, we investigate systems of interacting active Brownian spheres in two spatial dimensions with orientation-dependent propulsion using analytical modeling and Brownian dynamics simulations. It is found that the orientation-dependence leads to self-advection, circulating currents, and programmable cluster shapes.

Field Theory of Active Brownian Particles in Potentials

The Active Brownian Particle (ABP) model exemplifies a wide class of active matter particles. In this work, we demonstrate how this model can be cast into a field theory in both two and three dimensions. Our aim is manifold: we wish both to extract useful features of the system, as well as to build a framework which can be used to study more complex systems involving ABPs, such as those involving interaction. Using the two-dimensional model as a template, we calculate the mean squared displacement exactly, and the one-point density in an external potential perturbatively. We show how the effec…

在主动布朗粒子中编程可编程持久随机游走以控制涌现动力学

Programmable Persistent Random Walks in Active Brownian Particles Govern Emergent Dynamics

本文提出通过结合光调制推进强度与磁控推进方向，实现主动布朗粒子中多种持久随机游走的编程，展示了可调步长分布的莱维游走、run-and-tumble动力学、自避随机游走和高斯游走等运动模式，并通过单次实验实现运动模式的按需切换。

Thermodynamic stability versus Kinetic Accessibility: Pareto Fronts for Programmable Self-Assembly

A challenge in designing self-assembling building blocks is to ensure the target state is both thermodynamically stable and kinetically accessible. These two objectives are known to be typically in competition, but it is not known how to simultaneously optimize them. We consider this problem through the lens of multi-objective optimization theory: we develop a genetic algorithm to compute the Pareto fronts characterizing the tradeoff between equilibrium probability and folding rate, for a model system of small polymers of colloids with tunable short-ranged interaction energies. We use a coarse…

速度景观中的延迟主动游泳者

Delayed Active Swimmer in a Velocity Landscape

研究延迟对主动粒子动力学的影响，揭示时间延迟如何控制粒子运输与自组织，为生物微游泳器和合成微机器人提供新机制。