scholarly journals Chemotaxis-driven pattern formation for a reaction–diffusion–chemotaxis model with volume-filling effect

2016 ◽  
Vol 72 (5) ◽  
pp. 1320-1340 ◽  
Author(s):  
Manjun Ma ◽  
Meiyan Gao ◽  
Changqing Tong ◽  
Yazhou Han
2017 ◽  
Vol 448 (2) ◽  
pp. 885-907 ◽  
Author(s):  
Yazhou Han ◽  
Zhongfang Li ◽  
Jicheng Tao ◽  
Manjun Ma

2017 ◽  
Vol 32 (1) ◽  
pp. 108-116
Author(s):  
Man-jun Ma ◽  
Hui Li ◽  
Mei-yan Gao ◽  
Ji-cheng Tao ◽  
Ya-zhou Han

2012 ◽  
Vol 05 (03) ◽  
pp. 1260013
Author(s):  
HIROTO SHOJI ◽  
KEITARO SAITOH

In this study, we investigate two-dimensional patterns generated by chemotaxis reaction-diffusion systems. We numerically examine the Keller–Segel models with the volume-filling aggregation term and the receptor aggregation term in two dimensions. Spotted, striped and reversed spotted patterns are obtained as stable motionless equilibrium patterns. The relative stability of these patterns is studied numerically on the basis of the derived free energy. The intuitive understanding of these generated patterns and the relation with three-dimensional patterns are also discussed.


2021 ◽  
Vol 11 (11) ◽  
pp. 4979
Author(s):  
Mohammed Almijalli ◽  
Moustafa Ibrahim ◽  
Ali Saad ◽  
Mazen Saad

This paper is devoted to the study of the chemotaxis model for drug delivery purposes. The pattern formation for a volume-filling with nonlinear diffusive terms is investigated. The proposed mathematical model is governed by a reaction–diffusion system modeling the interaction between the cell density and the concentration of the chemoattractant. We investigate the pattern formation for the model using Turing’s principle and linear stability analysis. An asymptotic expansion is used to linearize the nonlinear diffusive terms. Next, we introduce an implicit finite volume scheme; it is presented on a triangular mesh satisfying the orthogonality condition. Finally, numerical results showing the formation of the spatial pattern for the chemotaxis model are presented and analyzed. The results demonstrate promising progress in understanding the process of controlling and designing targeted drug delivery.


Sign in / Sign up

Export Citation Format

Share Document