Using data science tools to discover new nanostructured materials

Researchers have developed a new approach to designing novel nanostructured materials through an inverse design framework using genetic algorithms. The study is the first to demonstrate the application of this methodology to the design of self-assembled nanostructures, and could help speed up the materials discovery process. It also shows the potential of machine learning and “big data” approaches.

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