scholarly journals Gain scheduling PID control for directed self‐assembly of colloidal particles in microfluidic devices

AIChE Journal ◽  
2019 ◽  
Vol 65 (6) ◽  
Author(s):  
Yu Gao ◽  
Richard Lakerveld
Lab on a Chip ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2168-2177 ◽  
Author(s):  
Yu Gao ◽  
Richard Lakerveld

An automated feedback control strategy for directed self-assembly is developed to obtain a desired density distribution.


Soft Matter ◽  
2021 ◽  
Author(s):  
Jiawei Lu ◽  
Xiangyu Bu ◽  
Xinghua Zhang ◽  
Bing Liu

The shapes of colloidal particles are crucial to the self-assembled superstructures. Understanding the relationship between the shapes of building blocks and the resulting crystal structures is an important fundamental question....


Life ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 53 ◽  
Author(s):  
Hironori Sugiyama ◽  
Taro Toyota

Experimental evolution in chemical models of cells could reveal the fundamental mechanisms of cells today. Various chemical cell models, water-in-oil emulsions, oil-on-water droplets, and vesicles have been constructed in order to conduct research on experimental evolution. In this review, firstly, recent studies with these candidate models are introduced and discussed with regards to the two hierarchical directions of experimental evolution (chemical evolution and evolution of a molecular self-assembly). Secondly, we suggest giant vesicles (GVs), which have diameters larger than 1 µm, as promising chemical cell models for studying experimental evolution. Thirdly, since technical difficulties still exist in conventional GV experiments, recent developments of microfluidic devices to deal with GVs are reviewed with regards to the realization of open-ended evolution in GVs. Finally, as a future perspective, we link the concept of messy chemistry to the promising, unexplored direction of experimental evolution in GVs.


Langmuir ◽  
1995 ◽  
Vol 11 (8) ◽  
pp. 2975-2978 ◽  
Author(s):  
Mariko Yamaki ◽  
Junichi Higo ◽  
Kuniaki Nagayama

2018 ◽  
Vol 90 (6) ◽  
pp. 1085-1098 ◽  
Author(s):  
Isha Malhotra ◽  
Sujin B. Babu

Abstract In the present study we are performing simulation of simple model of two patch colloidal particles undergoing irreversible diffusion limited cluster aggregation using patchy Brownian cluster dynamics. In addition to the irreversible aggregation of patches, the spheres are coupled with isotropic reversible aggregation through the Kern–Frenkel potential. Due to the presence of anisotropic and isotropic potential we have also defined three different kinds of clusters formed due to anisotropic potential and isotropic potential only as well as both the potentials together. We have investigated the effect of patch size on self-assembly under different solvent qualities for various volume fractions. We will show that at low volume fractions during aggregation process, we end up in a chain conformation for smaller patch size while in a globular conformation for bigger patch size. We also observed a chain to bundle transformation depending on the attractive interaction strength between the chains or in other words depending on the quality of the solvent. We will also show that bundling process is very similar to nucleation and growth phenomena observed in colloidal system with short range attraction. We have also studied the bond angle distribution for this system, where for small patches only two angles are more probable indicating chain formation, while for bundling at very low volume fraction a tail is developed in the distribution. While for the case of higher patch angle this distribution is broad compared to the case of low patch angles showing we have a more globular conformation. We are also proposing a model for the formation of bundles which are similar to amyloid fibers using two patch colloidal particles.


Lab on a Chip ◽  
2018 ◽  
Vol 18 (14) ◽  
pp. 2099-2110 ◽  
Author(s):  
Yu Gao ◽  
Richard Lakerveld

A novel feedback control method to align colloidal particles reliably via directed self-assembly in a microfluidic device is presented.


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