Byun Young-Moo, Lammert Paul E, Hong Yiying, Sen Ayusman, Crespi Vincent H
Department of Physics and Astronomy, University of Missouri, Columbia, MO 65211, United States of America. Department of Physics, Pennsylvania State University, University Park, PA 16802, United States of America.
J Phys Condens Matter. 2017 Nov 8;29(44):445101. doi: 10.1088/1361-648X/aa88f1.
Self-powered motion in catalytic colloidal particles provides a compelling example of active matter, i.e. systems that engage in single-particle and collective behavior far from equilibrium. The long-time, long-distance behavior of such systems is of particular interest, since it connects their individual micro-scale behavior to macro-scale phenomena. In such analyses, it is important to distinguish motion due to subtle advective effects-which also has long time scales and length scales-from long-timescale phenomena that derive from intrinsically powered motion. Here, we develop a methodology to analyze the statistical properties of the translational and rotational motions of powered colloids to distinguish, for example, active chemotaxis from passive advection by bulk flow.
