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This website is showcasing the research exploring the process-structure relationships of strained polyethylene. Sets of XRD image data along with stress and strain data are analyzed to model structure evolution with respect to strain. Big data methods are applied to derive this relationship in part to satisfy the Materials Informatics Course ME8883 at Georgia Tech.

Andriy Dotsenko

Data Scientist / Material Informatics


Andriy Dotsenko is a Ph.D. student in the school of Mechanical Engineering, working with Dr. Suman Das in the Direct Digital Manufacturing Lab (DDML). He has a B.S. in Physics from Stony Brook University and industry experience working at HYPRES, inc. in the area of superconducting electronics. His current research is metal Additive Manufacturing (AM) at the intersection of Mechanical Engineering and Materials Science with the goal of developing a light-weight, high-strength aluminum alloy optimized for AM. A general Combinatorial High Throughput (CHT) alloy synthesis technique for alloy development and discovery is developed as a tool to realize this goal, and can be extended to other alloy systems.

Xinyi Gong

Data Scientist / Material Informatics


Xinyi Gong is currently pursuing a PhD in Materials Science and Engineering at Georgia Institute of Technology. He earned a bachelor’s degree in Materials Science and Engineering at Nanjing University.