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

(A) Shows snapshots of the simulation at various time points using the DORA algorithm. (B) Displays snapshots from the simulation at different time points using the kd-tree approach. (C) 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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Simulation of colony growth at a scarce nutrient concentration of 1 mg/L.

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