SCHOOL AFFIATION

Eastside High School (Taylors, SC)

Focus: Physics, Chemistry, and Biology

FACULTY ADVISOR

Prof. D.P. Aidhy (Materials Science and Engineering)

RESEARCH PROJECT OVERVIEW

Currently, the number of alloys used in manufacturing and our everyday lives numbers in the thousands.  Since the introduction of Multiple Principal Element Alloys (MPEAs) the number of possible combinations of alloys that can be produced from the 50 most common metallic elements of traditional metallurgy expands to 1060 [1].  Study and discovery of new materials needs to be driven by advanced computational methods for progress to be made in this vast field.  The web-based repository being built by our team offers Machine-Learning tools for practitioners hoping to predict advanced alloy behavior and increase their understanding of the role of atomic level interactions in MPEAs. It would be ideal for a material science web app to contain current scientific data.  The goal of this project has two parts: 1. Extract material data from a .pdf file of a scientific paper and integrate it into a materials database efficiently and 2. Create tools and a workflow that an undergraduate Material Science student could use for the task.  Python code within the Jupyter Notebook environment and other python-based tools, including pandas dataframes were utilized in the final workflow to build our product and aid in the curation of a relevant web dataset.