The research will involve developing a state-of-the-art material descriptor tailored for machine learning techniques in computational materials science. This descriptor will enable transformative advances in the design of new materials for sustainable energy and next-generation electronics. The student will also learn how to perform first-principles calculations on high-performance computers for simple material systems from scratch.
Project Dates
Start Date: 1/8/2024 - End Date: 4/25/2024
Students Needed
Type of Project
Individual
Student Responsibilities
Time Commitment
19 hour(s)
Student Requirements
Enjoy computation and theoretical modelling of materials; Have good Python programming skills and a passion for learning and working on new things; Know basics of crystalline structure definition and classifications.
Interested in Working With the Following Programs
For EXCEL URE Students Only
Additional Notes