Current Team

Principal Investigator


Pamir Alpay on Aug. 31, 2017. (Peter Morenus/UConn Photo)

S. Pamir Alpay, Ph.D.
GE Professor in Advanced Manufacturing
Executive Director, UConn IPB/Tech Park

Research Interest
Materials theory, computational materials science, and multiscale materials modeling; metal additive manufacturing; thermodynamics and kinetics of phase transformations in correlated systems; materials for electrical contacts; electrothermal properties

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Research Scientists


 

Sanjeev Nayak on Nov. 16, 2017. (Peter Morenus/UConn Photo)

Sanjeev K. Nayak, Ph.D.
Research Scientist, Materials Science & Engineering

Research Interest
First-principles thermodynamics, defects in solids, defect induced magnetism and structural transformations in complex oxides

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Sanjubala Sahoo on Nov. 16, 2017. (Peter Morenus/UConn Photo)

Sanjubala Sahoo, Ph.D. 
Research Scientist, Materials Science & Engineering

Research Interest
First-principles modeling, physics and chemistry of surfaces, catalysis and magnetism

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Graduate Students


Uche Anene on Nov. 15, 2018. (Peter Morenus/UConn Photo)

Uchenna "Uche" A. Anene
Ph.D. Student, Chemical Engineering

Research Interest
Electronic structure theory, surface and interface chemistry, biomolecular modeling, polymers and metal-organic frameworks

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Cassidy Atkinson on Nov. 16, 2017. (Peter Morenus/UConn Photo)

Cassidy Atkinson
Ph.D. Student, Materials Science & Engineering

Research Interest
Structures of interfaces in non-ferrous alloys

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Kevin Co on Nov. 16, 2017. (Peter Morenus/UConn Photo)

Kevin Co
Ph.D. Student, Materials Science & Engineering

Research Interest
Functional complex oxides using first and second principles simulation methods

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Thomas Reid on Nov. 16, 2017. (Peter Morenus/UConn Photo)

Thomas Reid
Ph.D. Student, Materials Science

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Dennis Trujillo on Nov. 16, 2017. (Peter Morenus/UConn Photo)

Dennis Trujillo
Ph.D. Student, Materials Science & Engineering

Research Interest
Development of novel catalysts for desulphurization and oxygen evolution reactions via first-principles based approaches, machine learning and deep learning

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Undergraduate Students