BROWNIAN DYNAMICS ANALYSIS OF FRACTAL GROWTH OF FERROMAGNETIC COLLOIDAL PARTICLES

Author(s):  
HISAO MORIMOTO ◽  
Toru Maekawa
Author(s):  
Yoshitaka SHIMADA ◽  
Taiji ADACHI ◽  
Yasuhiro Inoue ◽  
Masaki HOJO ◽  
Sadami TSUTSUMI

2020 ◽  
Vol 117 (16) ◽  
pp. 8700-8710
Author(s):  
Mayank Agrawal ◽  
Sharon C. Glotzer

Micron-scale robots require systems that can morph into arbitrary target configurations controlled by external agents such as heat, light, electricity, and chemical environment. Achieving this behavior using conventional approaches is challenging because the available materials at these scales are not programmable like their macroscopic counterparts. To overcome this challenge, we propose a design strategy to make a robotic machine that is both programmable and compatible with colloidal-scale physics. Our strategy uses motors in the form of active colloidal particles that constantly propel forward. We sequence these motors end-to-end in a closed chain forming a two-dimensional loop that folds under its mechanical constraints. We encode the target loop shape and its motion by regulating six design parameters, each scale-invariant and achievable at the colloidal scale. We demonstrate the plausibility of our design strategy using centimeter-scale robots called kilobots. We use Brownian dynamics simulation to explore the large design space beyond that possible with kilobots, and present an analytical theory to aid the design process. Multiple loops can also be fused together to achieve several complex shapes and robotic behaviors, demonstrated by folding a letter shape “M,” a dynamic gripper, and a dynamic pacman. The material-agnostic, scale-free, and programmable nature of our design enables building a variety of reconfigurable and autonomous robots at both colloidal scales and macroscales.


1997 ◽  
Vol 36 (4) ◽  
pp. 119-126 ◽  
Author(s):  
Charles R. O'Melia ◽  
Melinda W. Hahn ◽  
Cheng-Tyng Chen

The size of colloidal particles has long been considered to be a major factor in their mass transport in aquatic environments. In aggregation and deposition reactions, the mass transport rates of colloidal particles are expected to decrease with increasing particle size since thermal diffusion dominates this process. Particle size has also been considered to affect colloid chemical interactions, at least on theoretical grounds, with predicted rates of attachment in aggregation and deposition processes decreasing substantially as colloidal particle size is increased. Observations have failed to confirm this prediction. The situation becomes more complex and predictions more consistent with observations when reversible aggregation and deposition such as can occur in secondary minima are considered. This is done in this paper in simulations using a combination of Brownian dynamics and Monte Carlo (BDMC) techniques. Some experimental observations of virus transport in porous media are presented. The BDMC simulations provide a partial explanation for these results.


2007 ◽  
Vol 16 (10) ◽  
pp. 3138-3145 ◽  
Author(s):  
He Dong-Hui ◽  
Yang Tao ◽  
Li Wei-Hua ◽  
Zhang Qing-Lan ◽  
Ma Hong-Ru

Sign in / Sign up

Export Citation Format

Share Document