Since the 2018 MRS Fall Meeting, teams of students have created novel open-source materials data sets and applied machine learning and statistical analysis techniques to their data. They were challenged to present their methods and findings in the form of a poster or a visual presentation.
The groups were judged by materials scientists, data scientists and engineers on the novelty of their open data set, the clarity of their methodology, the quality of their presentation and the scientific value of their analysis.
The results are in. Now it is time to reveal the winners. Join us as we learn about their exciting research and celebrate their accomplishments.