Project Info
INFORMATICS ANALYSIS OF AN EXPERIMENTAL MATERIALS DATABASE
Eve Mozur
evemozur@mines.edu
Project Goals and Description:
Historically, making materials (from stainless steel to battery cathodes) has been an empirical process driven by trial and error. Attempts to optimize synthesis and processing can therefore be incredibly time intensive. The advent of new computational methods capable of recognizing patterns hidden to the human perspective is changing how materials scientists think about this classic problem. In this project, we will use an existing database of synthetic parameters mined from the literature to search for multi-dimensional patterns in the preparation of manganese intermetallic materials. These types of materials are important for a variety of applications, including metallurgy, magnetism, and transport.
More Information:
Grand Challenge: Engineer the tools of scientific discovery.
https://people.mines.edu/evemozur/
Primary Contacts:
Eve Mozur evemozur@mines.edu
Student Preparation
Qualifications
The applicant student is expected to have already taken CHGN 121 and 122 or equivalent course and CSCI 261, 262, or 280 before taking this project. It would be beneficial if the student has already taken CSCI 303, 358, 404,470, but this is not required.
TIME COMMITMENT (HRS/WK)
4-5
SKILLS/TECHNIQUES GAINED
The student will learn to apply strategies in machine learning, as well as gain knowledge in material preparation.
MENTORING PLAN
The student will be considered a member of the Mozur Research Group in MME. They will be invited to regular group meetings to gain perspective and exposure to methodology. The student will meet bi-weekly with Prof. Mozur.
Preferred Student Status
Junior
Senior