Tamir Hasan

Hasan, T., Capolungo, L., & Zikry, M. (2023). A machine learning microstructurally predictive framework for the failure of hydrided zirconium alloys. NPJ MATERIALS DEGRADATION, 7(1). https://doi.org/10.1038/s41529-023-00344-7

Hasan, T., Capolungo, L., & Zikry, M. A. (2023). How can machine learning be used for accurate representations and predictions of fracture nucleation in zirconium alloys with hydride populations? APL MATERIALS, 11(7). https://doi.org/10.1063/5.0155679

Hasan, T., Capolungo, L., & Zikry, M. A. A. (2023). Predictive machine learning approaches for the microstructural behavior of multiphase zirconium alloys. SCIENTIFIC REPORTS, 13(1). https://doi.org/10.1038/s41598-023-32582-9

Mohamed, I., Hasan, T., & Zikry, M. A. (2022). Thermomechanical Microstructural Predictions of Fracture Nucleation of Zircaloy-4 Alloys With delta and e Hydride Distributions. JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME, 144(1). https://doi.org/10.1115/1.4051687

Hasan, T. S., Ziaei, S., & Zikry, M. A. (2019). Microstructural Modeling of the Mechanical Behavior of Face-Centered Cubic Nanocrystalline-Twinned Systems. METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 50A(2), 609–615. https://doi.org/10.1007/s11661-018-5008-2

Kribs, J. D., Hutchins, A. R., Reach, W. A., Hasan, T. S., & Lyons, K. M. (2014). Effects of hydrogen enrichment on the reattachment and hysteresis of lifted methane flames. Proceedings of the ASME Power Conference, 2013, vol 1.

Kribs, J., Moore, N., Hasan, T., & Lyons, K. (2013). Nitrogen-diluted methane flames in the near-and far-field. Journal of Energy Resources Technology, 135(4).

Hasan, T. S., Kribs, J. D., & Lyons, K. M. (2012). Influences of nitrogen dilution in the near flow field of transition regime lifted natural gas jet flames. Proceedings of the ASME International Mechanical Engineering Congress and Exposition, 2011, vol 1, 907–912.