Yanqing Su

Mechanical and Aerospace Engineering

Assistant Professor


Yanqing  Su

Contact Information

Office Location: ENGR 419F
Phone: 435-797-0957
Email: yanqing.su@usu.edu
Additional Information:

Educational Background

PhD, Geophysics, Georgia Tech, 2017
MS, Computational Science and Engineering, Georgia Tech, 2016
MS, Space plasma physics, USTC, 2012
BS, Space plasma physics, USTC, 2010

Licensures & Certifications

Leading at USU, USU, 2022
Effective College Instruction, The Association of College and University Educators (ACUE), 2022

Biography

Dr. Yanqing Su has been an assistant professor in the Department of Mechanical and Aerospace Engineering at the Utah State University (USU) since Fall 2020. Prior to that, Dr. Su spent 3 years as a research scientist in the Department of Mechanical Engineering at the University of California, Santa Barbara, and received a Ph.D. in Geophysics from Georgia Tech (2017), and an M.S. (2012) and B.S. (2010) in Space Physics from the University of Science and Technology of China.

Teaching Interests

Solid/fluid Mechanics, Computational material science, Nuclear materials, Space science

Research Interests

Dr. Yanqing Su is an assistant professor in the Department of Mechanical and Aerospace Engineering, working on designing high-performance materials in extreme environments. Her research interests are unraveling physical processes underlying advanced materials via computational tools at a different time/spatial scale, thus improving material properties.

Publications | Journal Articles

Academic Journal

  • Kulathuvayal, A.S, Su, Y., (2023). Ionic transport through the solid electrolyte inter- phase in lithium-ion batteries: A review from the first-principles perspectives. ACS Appl. Energy Mater
  • Mamun, A.A, Xu, S., Su, Y., (2023). Comparing interatomic potentials in calculating basic structural parameters and Peierls stresses in tungsten-based random binary alloys. Physica Scripta
  • Song, F., Debow, S., Zhang, T., Qian, Y., Huang-fu, Z., Munns, K., Schmidt, S., Fisher, H., Brown, J.B, Su, Y., Zander, Z., DeLacy, B.G, Mirotznik, M.S, Opila, R.L, Rao, Y., (2023). Interface catalysts of Ni3Fe1 layered double hydroxide and titanium carbide for high-performance water oxidation in alkaline and natural conditions. The Journal of Physical Chemistry Letters
  • Xu, S., Kulathuvayal, A.S, Xiong, L., Su, Y., (2022). Effects of ferromag- netism in ab initio calculations of basic structural parameters in Fe-A (A = Mo, Nb, Ta, V, or W) random binary alloys,. European Journal of Physics B
  • Su, Y., Kumar, M.A, Beyerlein, I.J, (2022). Critical shape for the growth of grain boundary twin embryos in Mg and Mg alloys: Crystal plasticity modeling.
  • Jian, W., Xu, S., Su, Y., Beyerlein, I.J, (2022). Energetically favorable dislocation/nanobubble bypass mechanism in irradiation conditions. Acta Materialia
  • W., Xu, S., Su, Y., Beyerlein, I.J, Role of layer thickness and dislocation distribution in confined layer slip in nanolaminated Nb. Int. J. Plast.
  • Xu, S., Jian, W., Su, Y., Beyerlein, I.J, Line-length-dependent dislocation glide in refractory multi-principal element alloys. Appl. Phys. Lett.
  • Smith, L.T, Xu, S., Su, Y., Hunter, A., Beyerlein, I.J, Transitions in the morphology and critical stresses of gliding dislocations in multiprincipal element alloys. Phys. Rev. Mater.
  • Jian, W., Su, Y., Xu, S., Ji, W., Beyerlein, I.J, Effect of interface structure on dislocation glide behavior in nanolaminates. J. Mater. Res.
  • Xu, S., Chavoshi, S.Z, Su, Y., On calculations of basic structural parameters in multi-principal element alloys using small atomistic models. Comput. Mater. Sci
  • Wang, X., Xu, S., Jian, W., Li, X., Su, Y., Beyerlein, I.J, (2021). Generalized stacking fault energies and Peierls stresses in refractory body-centeredcubic metals from machine learning-based interatomic potentials. Comput. Mater. Sci., 192

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Other

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Teaching

MAE 6930 - AI & Manufacturing, Fall 2024
MAE 2450 - Engineering Numerical Methods , Spring 2024
MAE 5930 - Multi-scale Computational Material Science, Fall 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 2160 - Material Science, Spring 2022
MAE 3420 - Fluid Mechanics, Fall 2021
MAE 2160 - Material Science, Spring 2021
MAE 3420 - Fluid Mechanics, Fall 2020

Graduate Students Mentored

Abdullah Mamun, Mechanical & Aerospace Engr, August 2021
Arjun Kulathuvayal, Mechanical & Aerospace Engr, August 2021