Richard Couperthwaite
I started as a Ph.D. Student with Dr. Arroyave’s Group in Fall 2017, and have been working on the computational design of steel materials using thermodynamics and information-fusion techniques. Side projects have extended into the use of machine learning techniques for quantification of microstructures.
Before Starting my Ph.D. I worked in materials research and development at Mintek in South Africa. Some of my focus areas while working there was the development of more corrosion and oxidation resistant FeAl alloys, colored gold and platinum jewelry alloys and metal spray forming.
Sina Hossein Zadeh
Sina joined Dr. Arroyave’s Group in Fall 2021. He is interested in understanding materials behavior through computational material science.
Webpage: https://www.sina.science
Xueqin Huang
Courtney Kunselman
Courtney Kunselman is a Master’s student studying microstructure quantification and classification for the purpose of exploring uncertainty propagation from model inputs to outputted microstructures. She received her Bachelor’s Degree from the United States Air Force Academy in Applied Mathematics, and her past research experience includes a mix of pure mathematics, multivariate statistical tools applied to materials, and international defense policy. She is currently a Second Lieutenant in the Air Force specializing in Intelligence.
Courtney on the news:
José Mancias
Peter Morcos
Daniel J Sauceda
Undergraduate Research Assistant
Arroyave Research Group, Texas A&M U.
Office: Doherty Bldg., A301
Phone:
E-Mail: danielsauceda@tamu.edu
My research largely consists of creating, modifying, and implementing technologies that assist and streamline the computational research process for material scientists.
Link to the Research:
Computational Preferences:
Computer Stack
OS: Ubuntu server 16.04
Desktop GUI: xfce4 with I3
RAM: 32 Gb
Hard Disk: 4Tb
Text editor: Emacs
Terminal: xfce4-terminal
Programming Stack
wrapper: Bash
language: Python
Database: PostgreSQL
Nathan Wilson
Graduate Research Assistant
Arroyave Research Group, Texas A&M U.
Office: Doherty Bldg., A301
Phone:
E-Mail: wilsonnater@tamu.edu
Nathan Wilson graduated from the University of Minnesota Material Science program. He currently works on using first principle methods to design and discover new materials, including combing first principle results with machine learning to improve predictions. Current work is focused on materials for energy, such as thermoelectrics.
Yuhao Wang
Graduate Research Assistant
Arroyave Research Group, Texas A&M U.
Office: Doherty Bldg., A301
Phone:
E-Mail: