论文标题
由于主动波动而引起的新兴组织和极化
Emergent Organization and Polarization due to Active Fluctuations
论文作者
论文摘要
我们介绍并研究了一个活跃的布朗运动模型，并具有描述自我塑形或活动中波动的乘法噪声。我们发现，慢速区域中密度积累的标准图表是通过主动波动定性地改变的，因为通常不仅不仅由平均自我刺激速度景观确定固定密度曲线。结果，活动梯度通常将粒子自动螺旋速度和方向相关联，从而导致在界面处出现极化，这取决于系统中的噪声量，指向密集或稀释区域。我们讨论活动噪声如何影响运动诱导的相分离的出现。我们的工作为在活动景观和主动波动的存在下进行系统研究的系统研究奠定了基础。
We introduce and study a model of active Brownian motion with multiplicative noise describing fluctuations in the self-propulsion or activity. We find that the standard picture of density accumulation in slow regions is qualitatively modified by active fluctuations, as stationary density profiles are generally not determined only by the mean self-propulsion speed landscape. As a result, activity gradients generically correlate the particle self-propulsion speed and orientation, leading to emergent polarization at interfaces pointing either towards dense or dilute regions depending on the amount of noise in the system. We discuss how active noise affects the emergence of motility induced phase separation. Our work provides a foundation for systematic studies of active matter self-organization in the presence of activity landscapes and active fluctuations.
