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Principal Investigator
Xiaofeng Qian
Associate Professor, AZZ Inc. Fellow
Department of Materials Science and Engineering
Department of Physics and Astronomy
Department of Electrical and Computer Engineering
Texas A&M University
Education and Professional Experience
2008 Ph.D., Advisor: Prof. Sidney Yip, Nuclear Science and Engineering, MIT
2008 - 2011 Postdoc., Advisor: Prof. Nicola Marzari, Materials Science and Engineering, MIT
2011 - 2014 Postdoc., Advisor: Prof. Ju Li, Nuclear Science and Engineering, MIT
Honors and Awards
2024 Dean of Engineering Excellence Award, Texas A&M University
2024 Engineering Genesis Award, Texas A&M University
2021 AZZ Inc. Faculty Fellow
2021 Texas A&M TEES Young Faculty Fellow
2020 Materials Today Rising Star in Quantum Materials
2018 NSF CAREER Award
Contact
Email: feng@tamu.edu
Phone: +1-979-458-9843
Fax: +1-979-862-6835
Mailing: 3003 TAMU, College Station, TX 77843-3003
Office: RDMC 213
Graduate Students
Alex Strasser
Research Interest
Electronic structure theory
Linear and nonlinear optical responses
Quantum materials
Honors and Awards
2022 Outstanding Engineering M.S. Graduate Student, Texas A&M University
2024 Invited to attend the 73rd Lindau Nobel Laureate Meetings
Contact
Email: alexstrasser16410@tamu.edu
Kaiji Zhao
Research Interest
First-principles modeling of defects in materials
Contact
Email: kaijiz@tamu.edu
Saagar Kolachina
Research Interest
First-principles theory
Machine learning
Honors and Awards
2024 College of Engineering Horizons Fellowship, Texas A&M University
2025 NRT AI on the fly Fellowship, Texas A&M University
Contact
Email: saagark2@tamu.edu
Chengdong Wang
Research Interest
Theory and simulation of van der Waals materials
Contact
Email: chengdongwang@tamu.edu
Hektor Cissik
Research Interest
Multiferroics
Nonlinear Optics and Optoelectroics
Contact
Email: hcissik@tamu.edu
Undergraduate Students
Alumni
Graduate Students
Kenna Ashen
PhD Thesis: First-Principles Studies of Layered Neuromorphic and Ferroelectric Materials, 2026
Awards: 2023 AZZ Inc. Graduate Fellowship, Texas A&M University
2025 MSEN Excellence in Outreach Award, Texas A&M University
Xiuyu Tang
Research Topic: Nonlinear Optical Materials, 2022
Baiyu Zhang
PhD Thesis: First-Principles Study of Electronic Structure and Defect Physics in Photovoltaic
and Neuromorphic Materials, 2021Awards: 2021 MSEN Best PhD Thesis Award, Texas A&M University
Jaybelle D. Pranada
M.S. Thesis: First-Principles Study of One-Dimensional Antimony Selenide Nanoribbon, 2022
Daniel Willhem
PhD Thesis: Discovery and Design of functional Materials Using First-Principles and
Machine Learning Approaches, 2023
Nathan Wilson
PhD Thesis: Data Driven Interatomic Potential Development, 2022
Hua Wang
PhD Thesis: First-Principles Theory, Discovery, and Design of Nonlinear Optical Materials, 2020
Awards: 2020 Association of Former Students Distinguished Graduate Student Award, TAMU
2020 MSEN Best PhD Thesis Award, Texas A&M University
Undergraduate Students
Hektor Cissik
UG Research: First-Principles Study and Group Theoretical Analysis of 2D Multiferroics, 2024 - 2026
Braeden Krieger
UG Research: Machine Learning of Ferroelectric Materials, 2024 - 2026
Ashlyn Burkhardt
UG Research: Machine Learning of 2D Materials, 2025 - 2026
Jenna Pirazzi
UG Research: Defects in 2D Materials, 2024 - 2025
Dave Craddock
UG Research: Quantum Transport in 2D Materials, Spring 2023
Aidan Bankler
UG Research: Theoretical Investigation of Strain and Defects in 2D Materials, Spring 2023
Kaleigh Curtis
UG Research: Low-Dimensional Piezoelectric Materials, 2019-2020
Daniel Peralta Velazquez
UG Research: Database Implementation and Machine Learning Applications for Materials Science, 2019-2020
Elliott Clay
Program: Online REU (O-REU) student, Summer 2020
UG Research: Density Functional Theory Study of Nanomaterials
Dana Ronin
Program: NSF REU student, Summer 2019
REU Research: Modeling 2D Multiferroic GeSe using Machine Learning
Shivang Agarwal
Program: Halliburton Engineering Global Program Intern, Summer 2018
UG Research: Electronic Transport in 2D Materials under Electromagnetic Fields
Shivani Srivastava
Program: Halliburton Engineering Global Program Intern, Summer 2017
UG Research: Data-Driven Materials Discovery and Property Prediction
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