Machine Learning with Scattering Transforms

Authors

Jacob Hansen, Brigham Young University
Gus Hart, Brigham Young University

Keywords

machine learning, scattering transforms, materials data

College

Physical and Mathematical Sciences

Department

Physics and Astronomy

Abstract

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.

Recommended Citation

Hansen, Jacob and Hart, Gus (2017) "Machine Learning with Scattering Transforms," Journal of Undergraduate Research: Vol. 2017: Iss. 1, Article 302.
Available at: https://scholarsarchive.byu.edu/jur/vol2017/iss1/302