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
Jaylen James
Graduate Research Assistant
Arroyave Research Group, Texas A&M U.
Office: Doherty Bldg., A301
Phone:
E-Mail: jaylen_james@tamu.edu
Jaylen James graduated from Priarie View A&M University with a Bachelors degree in Mechanical Engineering. He is now pursuing his PhD. Currently, his research focus is in fusing information from multi-fidelity sources using model reification. This project is in collaboration with the Air Force Research Laboratory. The methods Jaylen is working on will help researchers better predict material properties and help enhance the material design process for various applications.
Tanner Kirk
Graduate Research Assistant
Design Systems Laboratory, Texas A&M
Office: Doherty Bldg., 309
Email: tannerkirk@tamu.edu
Tanner Kirk is a Ph.D. student in the Mechanical Engineering Department at Texas A&M University. He is co-advised by Dr. Richard Malak and Dr. Raymundo Arroyave. Tanner researches the use of robotic path planning algorithms to design Functionally Graded Materials (FGMs). The methods Tanner develops use thermodynamic predictions of phase formation (CALPHAD) to plan FGMs that avoid the deleterious phases that often plague the manufacturing of FGMs. These methods are scalable to FGMs composed of an arbitrary number of elements and can be used to optimize FGMs for performance. Tanner’s other research interests are machine learning, optimization, and materials design.
José Mancias
Peter Morcos
Elias J Muñoz
Graduate Researcher
Arroyave Group, Texas A&M University
Topics:
– Micro-structure evolution of silicon carbides and other ceramic matrix composites (CMCs)
– Accelerated materials discovery using data-simulated-enabled framework
– Database creation and management of binary and ternary thermodynamic assessments
Current Work:
– Using an informatics-based approach, I look to discover new candidates for intermetallic melt infiltrants with optimal melting ranges and compatibilities with SiC and develop thermodynamic-based methods to discover alloy and process conditions for processing defect-free SiC/SiC composites by melt infiltration.
– Following that, we will then validate and demonstrate infiltrants through rapid infiltration methods.
Recent Publications/Presentations:
1. “Design and Discovery of Ceramic Matrix Composites By Assessment of Inverse Phase Stability and Microstructural Evolution.” AFRL Internship Poster Presentation. 08/2018
2. “High throughput CALPHAD assessments and phase-field algorithms for use in materials discovery. “ University of Michigan ICME Camp. 06/2018
3. “High throughput CALPHAD assessments and phase-field algorithms for use in materials discovery. “ CALPHAD XLVII Conference. 05/2018
Meelad Ranaiefar
Graduate Research Assistant
Arroyave Research Group, Texas A&M U.
Office: Doherty Bldg., A301
Phone:
E-Mail: mranaiefar@tamu.edu
Meelad Ranaiefar received his B.S. in Mechanical Engineering from Texas A&M and is now pursuing a Ph.D in Materials Science and Engineering. His current work involves modeling the contributing effect of differential evaporation on an additively manufactured part, consisting of nickel, titanium, niobium, or aluminum material. This is because differential evaporation can be seen as a negative side effect in the additive manufacturing process, leading to undesired changes in the microstructure of a material, but, through modeling and greater understanding, it can be used to control location specific microstructure and properties in materials.
Research Interests:
- Additive Manufacturing
- Welding