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common-neighbor-analysis

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GardenGroupUO / Organisms

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The Otago Research Genetic Algorithm for Nanoclusters, Including Structural Methods and Similarity (Organisms) program is a genetic algorithm designed to globally optimise nanoclusters (also known as clusters or nanoparticles)

genetic-algorithm clusters nanoparticles ase university-of-otago asap3 atomic-simulation-environment nanoclusters jupyter-binder predation-operator fitness-operator otago-university common-neighbour-analysis common-neighbor-analysis
  • Updated Jan 14, 2024
  • Python

GardenGroupUO / Organisms_Jupyter_Examples

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This repository contains examples of genetic algorithm optimisations using the Organisms program that can be run on Jupyter. This can be run either on your computer or live on the web through Binder

binder jupyter genetic-algorithm clusters nanoparticles ase university-of-otago asap3 atomic-simulation-environment nanoclusters predation-operator fitness-operator binder-page otago-university common-neighbour-analysis common-neighbor-analysis
  • Updated Mar 26, 2021
  • Jupyter Notebook

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