Computational Materials Science Lab

People

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

 

Emilia Olivos Lagunes

Education:
BS: Physics Universidad Veracruzana, Mexico
MS: C. M.Sc Specialty Materials Centro de Investigación y de Estudios Avanzados del Instituto Politéncico Nacional.Qro. México.
Interesting Areas: Ab-initio Calculations

Contact:
emmi@tamu.edu

olle_emily@hotmail.com

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.

Aiden Long

aidenlong77@tamu.edu

n/a

My name is Aiden Long, a sophomore Materials Science and Engineering student here at Texas A&M University. I have experience coding in Python and C++ and plan on achieving a minor in computer science while helping Sofia in her research. I and my fellow undergraduates will be reading literature and inputting the data we find into the database while also completing specific projects given by Sofia when necessary. I hope to gain machine learning and coding experience as well as developing my knowledge in materials science while applying that knowledge with this research. This will be the beginning of my career in research and I’m very excited to learn and help the team in every way I can.

José Mancias

jose.mancias@tamu.edu

n-a

José Mancias is a Ph.D. student working in a joint program between Texas A&M and IMDEA Materials in Madrid, Spain. His research focuses on phase-field modeling and computational design of metallic alloys for additive manufacturing. In 2020, he graduated with a Bachelor’s degree in Materials Science and Engineering from the University of Illinois at Urbana-Champaign.

Elias J Muñoz

ejmunoz3@tamu.edu

n/a

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

mranaiefar@tamu.edu

n/a

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

Arunabha Mohan Roy

royam@tamu.edu

n/a

Postdoctoral researcher
Arroyave Research Group, Texas A&M U.

Office: EIC bldg., room 113D
Phone: n/a
E-Mail:

 

 

Research Interests:

  • Computational Material Science
  • Computational Mechanics
  • Phase Field Method
  • Crystal Plasticity Modelling
  • Materials Design
  • Data-Driven Model Discovery
  • Machine/Deep Learning
  • Physics Informed Neural Networks