Mohammed Zikry
Zan Prevost Smith Professor
- Phone: (919) 515-5237
- Email: zikry@ncsu.edu
- Office: Engineering Building III (EB3) 3320
- Website: https://www.mae.ncsu.edu/zikry/
Mohammed A. Zikry is the Zan Prevost Smith Professor at North Carolina State University in the Department of Mechanical and Aerospace Engineering. He received his Ph.D. from the University of California, San Diego, his M.S. from the Johns Hopkins University, and his B.S. from the University of Kansas.
Amongst his recent awards, he has received the Jefferson Science Award as a senior science advisor to the U.S. State Department, Senior Research Fulbright Award to Egypt and France, the ALCOA Distinguished Research Award, the Research Excellence Award (NCSU) and the Ralph Teetor Research Award from the Society of Automotive Engineering.
He has been awarded a Professeur, Premiere Classe, Strasbourg University, and he is also a Fellow of the American Society of Mechanical Engineering (ASME), the Regional Editor for Mechanics of Materials, and is co-chair of the Executive Committee of ASME’s National Materials Division. He has been a senior research advisor to the Army Research Office and the Department of Defense, and a consultant to numerous industries and organizations.
Publications
- A fundamental understanding of how dislocation densities affect strain hardening behavior in copper single crystalline micropillars
- Xie, D., Chen, M.-J., Gigax, J., Luscher, D., Wang, J., Hunter, A., … Li, N. (2023), MECHANICS OF MATERIALS, 184. https://doi.org/10.1016/j.mechmat.2023.104731
- A machine learning microstructurally predictive framework for the failure of hydrided zirconium alloys
- Hasan, T., Capolungo, L., & Zikry, M. (2023), NPJ MATERIALS DEGRADATION, 7(1). https://doi.org/10.1038/s41529-023-00344-7
- Dislocation-density evolution and pileups in bicrystalline systems
- Chen, M.-J., Xie, D., Li, N., & Zikry, M. A. (2023), MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 870. https://doi.org/10.1016/j.msea.2023.144812
- How can machine learning be used for accurate representations and predictions of fracture nucleation in zirconium alloys with hydride populations?
- Hasan, T., Capolungo, L., & Zikry, M. A. (2023), APL MATERIALS, 11(7). https://doi.org/10.1063/5.0155679
- Precipitate and dislocation-density interactions affecting strength and ductility in inconel alloys
- Arcari, A., Horton, D., Chen, M.-J., & Zikry, M. A. (2023, August 16), JOURNAL OF MATERIALS SCIENCE, Vol. 8. https://doi.org/10.1007/s10853-023-08822-8
- Predicting and Controlling Ribbing Instabilities of Carbon Nanotube-PDMS Thin-Film Systems for Multifunctional Applications
- Phillips, M., Chen, M.-J., Islam, M. D., Ryu, J., & Zikry, M. (2023, July 19), ADVANCED ENGINEERING MATERIALS, Vol. 7. https://doi.org/10.1002/adem.202300582
- Predicting and Controlling Ribbing Instabilities of Carbon Nanotube–PDMS Thin‐Film Systems for Multifunctional Applications
- Phillips, M., Chen, M.-J., Islam, M. D., Ryu, J., & Zikry, M. (2023), Advanced Engineering Materials. https://doi.org/10.1002/adem.202370077
- Predictive machine learning approaches for the microstructural behavior of multiphase zirconium alloys
- Hasan, T., Capolungo, L., & Zikry, M. A. A. (2023), SCIENTIFIC REPORTS, 13(1). https://doi.org/10.1038/s41598-023-32582-9
- The Fiftieth Anniversary of the Founding of the ASME Journal of Engineering Materials and Technology
- Zikry, M. A. (2023, July 1), JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME, Vol. 145. https://doi.org/10.1115/1.4062506
- Coupled electromagnetic and mechanical modeling and detection of buried objects
- Elbadry, M., Wetherington, J., & Zikry, M. A. (2022), Applications in Engineering Science, 10. https://doi.org/10.1016/j.apples.2022.100106
Grants
- Collaborative Research: Template-Free Manufacturing of Regular Microstructures by Ribbing-Enhanced Roll Coating
- Development of Advanced Continuum Dislocation Interaction Relationships for Crystal Plasticity Frameworks
- Vibration-Enhanced Underground Sensing (VEnUS)
- Development of a Mechanistic Hydride Behavior Model for Spent Fuel Cladding Storage and Transportation
- Consortium for Advanced Simulations for Light Water Reactors (CASL) - Oak Ridge National laboratory (Start up 8/16/10 to 2/17/11)
- Modeling of Vibration-Enhanced Underground Sensing (VENUS)
- Understanding AM Solidification Profile Effects on Material Inhomogenieties, Defects, and Qualification
- Sound and Electromagnetic Interacting Waves (MURI)
- Feasibility Project: Mechanical Experiments for Adhesion Strengths of ITO and IZO Thin Films
- Mechanical Behavior of Polymer-Fullerene Blends for Photovoltaic Applications