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REU Program Continues to Train Students in Data Science

The NSF REU site (DMR-2150360, PI Y. G. Yingling) at the Materials Science and Engineering Department at North Carolina State University completed its third year on Friday, July 26. This program focuses on providing young materials engineers with training and hands-on experience in materials informatics and data science.

Since its inception in 2022, the program has welcomed 35 talented students from colleges and universities across the United States. These students have gained invaluable research experiences and the opportunity to learn and apply data science techniques to materials research, further enhancing their academic and professional development.

What is the MAT-DAT REU?

The NSF-sponsored REU Site in Materials Research with Data Science (MAT-DAT) provides undergraduate students with training and hands-on experience in data science through their involvement in cutting-edge materials engineering projects within the NC State University community during this 10-week program. Projects integrated machine learning, materials informatics (MI), statistical and mathematical methods, and other data-science tools in experimental and computational-based materials discovery.

Poster Winners

The poster competition showcased the remarkable progress achieved by students in 10 short weeks.

Best Overall REU Poster

Lena Lopes won first place for the Best Overall REU Poster for her work Compositional Screening and Identification of Wadsley-Roth Oxides for Li-ion Battery Applications.

Lena Lopes won first place for the Best Overall REU Poster for her work "Compositional Screening and Identification of Wadsley-Roth Oxides for Li-ion Battery Applications."

PI: Prof. Veronica Augustyn | Mentor: Noah Holzapful

First Place

Anne Chabaneix won First Place for her work Antiozonant Activity in Tire Materials: A Molecular Dynamics Perspective with Machine Learning.

Anne Chabaneix won First Place for her work "Antiozonant Activity in Tire Materials: A Molecular Dynamics Perspective with Machine Learning."

PI: Prof. Yaroslava Yingling | Mentors: Prof. Albert Kwansa, Abishec Sundar Senthivel

Second Place (Tie)

Aidan Cummings tied for second place for his work Machine Learning Applications in Magnesium Alloy Corrosion.

Aidan Cummings tied for second place for his work "Machine Learning Applications in Magnesium Alloy Corrosion."

PI: Prof. Rajeev Gupta | Mentor: Alex Helmer

JaiShaun Boyd tied for second place for his work "Electrochemical Li-ion Insertion into Niobium Molybdenum Oxide Wadsley-Roth Crystallographic Shear Phases."

PI: Prof. Veronica Augustyn | Mentor: Noah Holzapful

Faculty Choice Award

The Faculty Choice Award was won by COE REU participant, Grace Harvey for her work "Alignment and Fluorescence of Linear Polycyclic Aromatic Hydrocarbons in Shape-Memory Polymer Films." 

PI: Prof. Joseph Tracy

North Carolina State University Department of Materials Science and Engineering is dedicated to advancing knowledge, fostering innovation, and cultivating the next generation of leaders in materials science. With a commitment to excellence in education, research, and community engagement, NC State MSE strives to make a meaningful impact locally and globally.

https://www.flickr.com/photos/198390058@N08/albums/72177720319210581

MAT-DAT REU Poster Presentations

This research was supported by the National Science Foundation DMR-2150360 REU Site: Materials Research with Data Science (MAT-DAT)

KEELY BILLIAR
PI: Professor Thomas LaBean
Mentor: Dr. Nikolay Frick
Production and Assessment of Silver Nanoparticle Ink for Inkjet Printing and Stamping
LEALA CARBONNEAU
PI: Professor Yaroslava Yingling
Mentors: Professor Alexey Gulyuk and Dr. Siri Mudunuri
Machine Learning Assisted Characterization of Plant Cellulose Synthesis Complex 
ANNE CHABANEIX
PI: Professor Yaroslava Yingling
Mentors: Professor Albert Kwansa and Dr. Abishec Sundar Senthivel
Antiozonant Activity in Tire Materials: A Molecular Dynamics Perspective with Machine Learning
AIDAN CUMMINGS
PI: Professor Rajeev Gupta
Mentor: Alex Helmer
Machine Learning Applications in Magnesium Alloy Corrosion 
STEPHANIE EUCEDA TRUJILLO
PI: Professor Yaroslava Yingling
Mentor: Quanpeng Yang 
Machine Learning Assisted Analysis of Lanthanide-based Materials Properties for Enhanced Phosphorus Adsorption
MICHAEL HANN
PI: Professor Bharat Gwalani
Mentor: Caleb Schenck
Developing Correlative High-throughput Experimentation and Machine Learning Algorithm for Friction-Stir Processed Composites
CONNOR HURST
PI: Professor Martin Seifrid
The Value of Electronic Lab Notebooks in (Automated) Labs
VICTORIA LEE
PI: Professor Milad Abolhasani (CBE)
Mentor: Sina Sadeghi
Autonomous Manufacturing of Lead-Free Metal Halide Perovskite Nanocrystals Using a Self-Driving Fluidic Lab
LENA LOPES
PI: Professor Veronica Augustyn 
Mentor: Dr. Noah Holzapfel
Compositional Screening and Identification of Wadsley-Roth Oxides for Li-ion Battery Applications
NATHAN PERRY
PI: Professor Yaroslava Yingling
Mentor: Andrew Cannon
Machine Learning-Driven Engineering of Phosphate-Binding Proteins for Enhanced Phosphorus Recovery
THOMAS THEINER
PI: Professor Donald Brenner
Mentors: Dr. Sam Daigle and Marium Mou
Machine Learning Methods for Calculating Vacancy Formation Energies in High Entropy Ceramics
PETER WILSON
PI: Professor Yin Liu
Mentor: Konnor Koons
Simulation of Optical Response of Multilayer Stack Using the Transmission Matrix Method
RYAN ZMARZLAK
PI: Professor Martin Thuo
Mentor: Dr. Andrew Martin
Statistical Analysis of Environmental Factors on SAM Systems

NC State REU Poster Presentations

The College of Engineering Enhancement Fee supports this research.

EVA BOYCE 
PI: Professor Martin Thuo
Mentor: Alana Pauls
Interface-Driven Tunable Chromaticity in Europium Complexes
JAISHAUN BOYD 
PI: Professor Veronica Augustyn 
Mentor: Dr. Noah Holzapfel
Electrochemical Li-ion Insertion into Niobium Molybdenum Oxide Wadsley-Roth Crystallographic Shear Phases
GRACE HARVEY
PI: Professor Joseph Tracy
Alignment and Fluorescence of Linear Polycyclic Aromatic Hydrocarbons in Shape-Memory Polymer Films
AIDAN HENNESSEE
PI: Professor Bharat Gwalani
Influence of Processing Parameters on Microstructure of AA6061 using Solid Stir Extrusion
MARY HOULT 
PI: Professor Thomas LaBean
Mentor: Dr. Nikolay Frick
Optimizing Manual and Automated Ink Transfer Techniques for High-Resolution Microelectronic Device and Sensor Fabrication
COLTON KING 
PI: Professor Veronica Augustyn 
Mentors: Seongbak Moon and Dr. Matthew Chagnot
Simulating Galvanostatic Charge/Discharge of LiCoO2-based Coin Cells in COMSOL Multiphysics®
NICHOLAS LUKE 
PI: Professor Aram Amassian
Mentor: Jake Mauthe
Analyzing Semiconducting PBTTT Process-Conductivity Relationship with Varying Solvent Mixtures through Automated Hotcasting
LIAM MCWHORTER
PI: Professor Thomas LaBean
Mentor: Dr. Nikolay Frick
Electrohydrodynamic Printing for Fabrication of Microelectronic Devices
ELI RODRIGUES 
PI: Professor Ruijuan Xu
Mentor: Konnor Koons
Developing Transfer Methods for Epitaxially Grown Strontium Titanate Thin Films
EVAN SCALF 
PI: Professor Aram Amassian
Automating the I-V Characteristics of Solution-Based Organic Semiconductors
MASON SHAFFER 
PI: Professor Veronica Augustyn 
Mentors: Aldina Sultana and Alan Ferris
Development of Operando Optical Microscopy for Visualizing Electrodeposition and Electrodissolution
TAYLOR SHARP 
PI: Professor Jacob Jones
Review of Literature on Toxicity and Ecotoxicity of Phosphate Capturing Materials
JONATHAN TILL 
PI: Professor Martin Seifrid
Optimizing Liquid Handling Parameters for Precision Robotic Dispensing of Organic Liquids

Other Funding

SOPHIA ISACCO 
PI: Professor Rajeev Gupta
Mentor: Rahul Agrawal
Characterization and Corrosion Behavior of an Additively Manufactured Nickel-Free Austenitic Stainless Steel
GRACE KIEL 
PI: Professor Jacob Jones
Impact of Processing Treatments and Cooling Rates on Structure of a Newly Synthesized Ferroelectric Using High Temperature In situ X-Ray Diffraction
CORDELIA MCKELVY
PI: Profesor Michael Dickey (CBE)
Mentor: Mohammadreza Zare
Developing a LM-Based Chip for Targeted Capture and Release of Biological Entities