Simulation of colony growth at a scarce nutrient concentration of 1 mg/L.

Simulation of colony growth at a scarce nutrient concentration of 1 mg/L.

<p>(<b>A</b>) Shows snapshots of the simulation at various time points using the DORA algorithm. (<b>B</b>) Displays snapshots from the simulation at different time points using the kd-tree approach. (<b>C</b>) Compares the resolution time step at each itera...

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Bibliographic Details
Main Author: Ihab Hashem (21156806) (author)
Other Authors: Jian Wang (5901) (author), Jan F.M. Van Impe (21156809) (author)
Published: 2025
Subjects:
Biotechnology
Ecology
Cancer
Infectious Diseases
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
varied nutrient conditions
unlike cellular automata
resolving spatial overlaps
population size increases
managed using arrays
large cell populations
efficiently manage overlaps
approach significantly reduces
superior computational efficiency
based strategy enables
xlink "> individual
specific grid units
microbes </ p
dora &# 8217
assigning circular cells
computational load
based operation
based models
based framework
thereby expanding
simulation space
predefined rules
microbial ecology
microbial colonies
instrumental tool
individual behaviors
ibms require
ibms model
fixed grid
efficient grid
dora transforms
dora ),
conventional methods
ca ),
biochemical engineering
become inefficient
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