BYU

Abstract by Megan Searles

Personal Infomation


Presenter's Name

Megan Searles

Co-Presenters

None

Degree Level

Undergraduate

Co-Authors

Chandramouli Nyshadham
Kennedy Lincoln
Brayden Bekker

Abstract Infomation


Department

Physics and Astronomy

Faculty Advisor

Gus Hart

Title

Ternary Systems and Machine Learning!

Abstract

One of the most exciting advances in materials science in the past decade or so has been experimentation with machine learning models. These make calculations that were formerly slow and computationally expensive much more efficient. Using data obtained through VASP and converted to the newly developed multi-body tensor representation, we attempt to use kernel ridge regression and deep neural networks to predict the energies of ternary systems.