Illustration of the geometric aspects of the algorithm.

(A) Occupancy calculation for a cell, showing the boundaries , , , and relative to the grid units. (B) Redistribution of excess occupancy during the diffusion step, visualized with arrows indicating the directions of movement. The four-dimensional motio...

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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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Illustration of the geometric aspects of the algorithm.

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