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Physical Sciences and Mathematics Commons

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Journal

Machine learning

2017

Brigham Young University

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Full-Text Articles in Physical Sciences and Mathematics

Machine Learning With Scattering Transforms, Jacob Hansen, Gus Hart Jun 2017

Machine Learning With Scattering Transforms, Jacob Hansen, Gus Hart

Journal of Undergraduate Research

Our goal was to implement scattering transforms as a mathematical representation of materials. The intention of this project was to build intuition on this technique using model data in one and two dimensions. The tools created here will be used as templates in further projects on real materials data. The intuition built during this project is crucial to the machine learning framework for materials design that we hope to build in the near future.