Team:ETH Zurich/Modeling/Overview
From 2013.igem.org
Line 3: | Line 3: | ||
<h1>The digital bacterial-based minesweeper</h1> | <h1>The digital bacterial-based minesweeper</h1> | ||
- | <p align="justify">We created a 2D spatio-temporal model of the Colisweeper bacterial game to evaluate our network, validate the design and get some insights of how we can improve our system. Essentially we study the diffusion of AHL in a hexagonal grid setup with mine and non-mine colonies. For the simulation, we used COMSOL Multiphysics. Most of the model parameters are derived from literature supported by experimental evidence, and very few of them are fitted. <br></p> | + | <p align="justify">We created a 2D spatio-temporal model of the Colisweeper bacterial game to evaluate our network, validate the design and get some insights of how we can improve our system. Essentially we study the diffusion of AHL in a hexagonal grid setup with mine and non-mine colonies. For the simulation, we used COMSOL Multiphysics. Most of the model parameters are derived from literature supported by experimental evidence, and very few of them are fitted. It is important to highlight that the model and the experimentation need to be viewed in close interplay. Based on this premise we generate data from experiments to validate the model, but also use to model to predict the behaviour of our system and help further experimental designs. <br></p> |
<html> | <html> |
Revision as of 09:19, 25 September 2013
The digital bacterial-based minesweeper
We created a 2D spatio-temporal model of the Colisweeper bacterial game to evaluate our network, validate the design and get some insights of how we can improve our system. Essentially we study the diffusion of AHL in a hexagonal grid setup with mine and non-mine colonies. For the simulation, we used COMSOL Multiphysics. Most of the model parameters are derived from literature supported by experimental evidence, and very few of them are fitted. It is important to highlight that the model and the experimentation need to be viewed in close interplay. Based on this premise we generate data from experiments to validate the model, but also use to model to predict the behaviour of our system and help further experimental designs.