Computational Materials Science Lab

Alumni

Anas Abu-Odeh

n/a

Currently an undergraduate Mechanical Engineering senior at Texas A&M. I am working on using a continuous constraint satisfaction algorithm (provided by Dr. Richard Malak’s group) to search high-entropy alloy space and feasible liquid metal dealloying systems. Previously, I collected data points of different austenitic steel compositions and their stacking fault energy (SFE) as well as collecting data points for the SFE of magnesium alloys.

 

ANAS graduated and started his graduate studies @ Berkeley. Congratulation Anas… [Summer 2017]

 

 

Amir Behbahanian

amirbehbahanian@tamu.edu

n/a

Thien Duong

terryduong84@tamu.edu

n/a

About me:

I’m currently a PhD candidate in Mechanical Engineering at Texas A&M University. I acquired my BS degree in Mechatronics at the University of Technology – Ho Chi Minh City, Vietnam in 2007. Later, I was pursuing M.S. in Control and System at Texas A&M University, a university of traditions and honors to me, starting in Fall 2008. During my MS career, I realized my passion for Materials Science, particularly Computational Materials Science and Engineering; I decided to change my major for PhD career at the same beloved school in Spring 2011. I find that this decision is a great turn in my life, in which I’m passionately enjoying my work, researches, studies and above all my life as a materials scientist.

Research:
Methodology: At the moment, I’m specializing in Ab initio study of electronic structures in materials. In specific, the first principle method I’m working on is Density Functional Theory (DFT) – A method to solve the Schodinger’s equation for electronic structures and properties that can be derived from it. I’m mostly interested in using DFT to study the thermodynamic properties of materials. From these calculated quantities, it can be explained why materials exist in a particular form. By combining with CALPHAD – A package to calculate phase diagrams, one can further understand more about the microstructure evolution of materials and their stable structure at a specific temperature and composition.
Materials of Interest: The materials I’m working on include: metallic fuels for Gen-IV reactors, MAX phases – high temperature advance alloys, high entropy alloys, shape memory alloys and thin film diffusion.
Achievements:
Summer 2012 – Intern at Lawrence Livermore National Laboratory.
Spring 2012 – Lab Assistant at IIMEC Winter School – Texas A&M University.
Summer 2011 – Scholarship Fellow at ICMEd Summer School – University of Michigan.

Sean Gibbons

About me:  I am currently a PhD student in Materials Science and Engineering Program in the Mechanical Engineering Department here at Texas A&M University.
 

Interests: The application of computational methods to evaluate complex data sets for simulation initialization and to develop holistic materials science and engineering focused models; use atomistic scale information to tailor continuum level phase-field-models to timely and accurately simulate microstructural evolution for a given system, that can in-turn be used to drive experimental research and process and design cycles.

Education:
2009 • MS in Applied Mathematics
           Naval Postgraduate School, (Monterey, CA)
           Title of Thesis: Impacts of Sigma Coordinates on the Euler and Navier-Stokes Equations using Continuous
            Galerkin Methods
           Advisor: Francis X. Giraldo
2009 • MS in Numerical Weather Prediction
           Naval Postgraduate School, (Monterey, CA)
           Title of Thesis: Impacts of Sigma Coordinates on the Euler and Navier-Stokes Equations using Continuous                           Galerkin Methods
           Advisor: Tony Eckel
2003 • BS in Materials Sciences
           United States Air Force Academy, (Colorado Springs, CO)
1999 • USAF Academy Preparatory School
           United States Air Force Academy, (Colorado Springs, CO)
Current Research Areas:
Multi-scale Modeling:
    – Evolution of U-Zr Metallic Nuclear Fuels
Phase Field Modeling
    – Transient Liquid Phase Lead Free Soldering
    – Microelasticity
First Principle Calculations:
    – Ni-Ti-X based Shape Memory Alloys
Parallel Algorithm Design:
    – Mesh Adaptive Direct Search (MADS) Algorithms
    – Genetic Algorithms

Pejman Honarmandi

hona107@tamu.edu

n/a

Post-doctoral researcher
Arroyave Research Group, Texas A&M U.

Office: Doherty Bldg., A301
Phone:
E-Mail: hona107@tamu.edu

 

I am from Iran and currently a post-doctoral researcher of Materials Science & Engineering at Texas A&M University. I received a bachelor’s degree from Sharif University of Technology (SUT), and subsequently a master’s degree from Khaje Nasir Toosi University of Technology (KNTU). I am proud to declare that I was recognized as a top graduate student among the graduates of academic year of 2008-2009, and honored for obtaining the highest total GPA.

Because of my intense enthusiasm for investigating in different fields of materials science, I did various experimental and theoretical research during my past education, including “assessment of surface resistance in polymeric nano-composite materials”, “evaluation of hot deformation behavior in steels and titanium alloys, “synthesis, characterization, and microscopic analysis of different types of nano-materials”, etc, which led to the publication of different ISI and conference papers.

I joined Prof. Arroyave’s group in Fall 2014, and my research field of interest is alloy design under uncertainty, including modeling and Bayesian uncertainty analysis of plastic flow behavior of low-alloy TRIP-assisted steels, and precipitation kinetics of NiTi based shape memory alloys.

Courtney Kunselman

cjkunselman18@tamu.edu

n/a

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:

https://engineering.tamu.edu/news/2021/05/former-materials-science-and-engineering-student-wins-outstanding-masters-thesis-award.html

 

Dehao Liu

dehao.liu@tamu.edu

n/a

Post-doctoral researcher
Arroyave Research Group, Texas A&M U.

Office: Doherty Bldg., A301
Phone:
E-Mail: dehao.liu@tamu.edu

 

Dehao Liu is currently a postdoctoral researcher in the Department of Materials Science & Engineering and Texas A&M Institute of Data Science at Texas A&M University. He is co-advised by Dr. Raymundo Arroyave from Materials Science & Engineering and Dr. Ulisses Braga-Neto from Electrical & Computer Engineering. He received his BS in mechanical engineering from Tsinghua University in 2016 and PhD in mechanical engineering from Georgia Institute of Technology in 2021. His research focuses on constructing comprehensive and robust process-structure-property relationships for systematic process and materials design for advanced manufacturing by combining multiscale multiphysics simulation, physics-constrained machine learning, and scalable versatile Bayesian optimization.

Woongrak Son

son536@tamu.edu

Graduate Research Assistant
Arroyave Research Group, Texas A&M U.

Office: Doherty Bldg., A301
Phone:
E-Mail:

 

I’m from Korea which has beautiful mountains and oceans. I moved in college station, Texas on august 2014. I’m currently a PhD student in Materials Science and Engineering at Texas A&M University. I have joined Dr. Arroyave’s group in Fall 2014. My research area is investigating thermodynamic properties of alloys using first principle and ab initio calculations.