Turing theory of pattern formation is among the most popular theoretical means to account for the variety of spatio-temporal structures observed in Nature and, for this reason, finds …
S Smith, C Cianci, R Grima - Journal of the Royal Society …, 2017 - royalsocietypublishing.org
It is now well established that cell interiors are significantly crowded by macromolecules, which impede diffusion and enhance binding rates. However, it is not fully appreciated that …
A discrete agent-based model on a periodic lattice of arbitrary dimension is considered. Agents move to nearest-neighbor sites by a motility mechanism accounting for general …
Computational biology is the science of developing mathematical models and numerical simulation techniques to understand biological and biochemical systems. Since the early …
Many natural or human-made systems encompassing local reactions and diffusion processes exhibit spatially distributed patterns of some relevant dynamical variable. These …
K Hałagan, P Duniec, M Kozanecki, A Sikorski - Materials, 2024 - pmc.ncbi.nlm.nih.gov
The influence of obstacles in the form of polymer chains on the diffusion of a low-molecular- weight solvent was the subject of this research. Studies were performed by computer …
We introduce a nonlinear operator to model diffusion on a complex undirected network under crowded conditions. We show that the asymptotic distribution of diffusing agents is a …
The Turing instability paradigm is revisited in the context of a multispecies diffusion scheme derived from a self-consistent microscopic formulation. The analysis is developed with …
S Smith, R Grima - The Journal of chemical physics, 2017 - pubs.aip.org
Brownian dynamics simulations are an increasingly popular tool for understanding spatially extended biochemical reaction systems. Recent improvements in our understanding of the …