Wenhao Sun

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Dr. Sun’s research group is interested in resolving outstanding fundamental scientific problems that impede the computational materials design process. The group uses high-throughput density functional theory, applied thermodynamics, and materials informatics to deepen our fundamental understanding of synthesis-structure-property relationships, while exploring new chemical spaces for functional technological materials. These research interests are driven by the practical goal of the U.S. Materials Genome Initiative to accelerate materials discovery, but whose resolution requires basic fundamental research in synthesis science, inorganic chemistry, and materials thermodynamics.

Amanda Wang

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Year
2021-2022

Research Description
Large-scale computational methods to study the structural, electronic, and optical properties of materials and nanostructures.

Mentor
Emmanouil (Manos) Kioupakis, Materials Science and Engineering

Vishwas Goel

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Year
2021-2022

Research Description
Multi-scale modeling of electrochemical systems

Mentor
Katsuyo Thornton, Materials Science and Engineering

Zhucong Xi

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Year
2020-2021

Research Description
Understanding nucleation and growth of solute clusters and GP zones to facilitate industrial fabrication of high-strength Al alloys

Mentor
Prof. Liang Qi, Materials Science and Engineering

Wenkun Wu

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Graduation Year

2018

Thesis Title

Study of Acid Suppressed Thickener Technology Using Density Functional Theory and Machine Learning Techniques

Current Job

Postdoctoral Fellow at Northwestern Argonne Institute of Science and Engineering

James Proctor

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Year

2017-2018

Topic

Development of a statistical mechanics based method to explore in physically relevant ways the ways in which colloidal particles interact. Efficient design of particle interactions for self assembly in a variety of systems.

President of SC2 2017-2018