University of Twente Student Theses
Simulated Silicon Dopant networks : optimizing simulations, searching for boolean gates and visualization
Klanberg, Indrek (2019) Simulated Silicon Dopant networks : optimizing simulations, searching for boolean gates and visualization.
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| Abstract: | In this thesis I worked with a physical model for silicon dopant networks, a potential future solution for computation in materio. The physical model uses Kinetic Monte Carlo simulation to simulate various scenarios, and can be used to make simulated experiments at a much lower cost than we could do them on physical devices. In this work I worked on improving the simulation speed for this model, but also explored many other aspects to move towards streamlining simulated experiments, such as visualization, more general Genetic algorithm for searches, and parallelism. I also made a few example experiments, which already took advantage of the increased performance of the simulations achieved during the Thesis. When I started the Thesis, B. de Wilde had already laid the grounds for the physical model in code. I built upon that and here I document my findings on different simulation optimization attempts, visualization functions, genetic search improvement attemps, and several parallelization attempts. In the end I give my recommendation of how to perform large scale simulated experiments and suggest a few experiments to be done in the future based on the example experiments made during the Thesis. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science MSc (60300) |
| Link to this item: | https://purl.utwente.nl/essays/79210 |
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