polyga is a genetic algorithm written in Python and designed to create new polymers, although, it is implemented it in such a way that it can be a framework for other design tasks. The user creates a PolyPlanet with various PolyLands that have unique environments and PolyNations that have unique cultures. Combined, these environmental and culutral factors influence the evolution of your polymers. PolyPlanet keeps track of the PolyLands and PolyNations and facilitates migration between nations.

J. Kern, L. Chen, C. Kim, and R. Ramprasad, “Design of polymers for energy storage capacitors using machine learning and evolutionary algorithms,” J Mater Sci, Sep. 2021, doi: 10.1007/s10853-021-06520-x.

Chiho Kim, R. Batra, L. Chen, H. Tran, and R. Ramprasad, “Polymer design using genetic algorithm and machine learning,” Computational Materials Science, vol. 186, p. 110067, Jan. 2021, doi: 10.1016/j.commatsci.2020.110067.

Researchers should cite this work as follows:

• Joseph D Kern (2021), "Polymer Genetic Algorithm," https://nanohub.org/resources/polyga. (DOI: 10.21981/N76D-6068).

  BibTex | EndNote

1. genetic algorithm
2. Jupyter notebooks
3. machine learning
4. material properties
5. materials discovery
6. NCN Group - Machine Learning Hands-on
7. PolyGA
8. polymers
9. python