@article{hasan_capolungo_zikry_2023, title={A machine learning microstructurally predictive framework for the failure of hydrided zirconium alloys}, volume={7}, ISSN={["2397-2106"]}, url={https://doi.org/10.1038/s41529-023-00344-7}, DOI={10.1038/s41529-023-00344-7}, abstractNote={Abstract}, number={1}, journal={NPJ MATERIALS DEGRADATION}, author={Hasan, Tamir and Capolungo, Laurent and Zikry, Mohammed}, year={2023}, month={Mar} }
 @article{hasan_capolungo_zikry_2023, title={How can machine learning be used for accurate representations and predictions of fracture nucleation in zirconium alloys with hydride populations?}, volume={11}, ISSN={["2166-532X"]}, url={https://doi.org/10.1063/5.0155679}, DOI={10.1063/5.0155679}, abstractNote={Zirconium alloys are critical material components of systems subjected to harsh environments such as high temperatures, irradiation, and corrosion. When exposed to water in high temperature environments, these alloys can thermo-mechanically degrade by forming hydrides that have a crystalline structure that is different from that of zirconium. Cracks can nucleate near these hydrides; hence, these hydrides are a direct link to fracture failure and overall large inelastic strain deformation modes. To fundamentally understand and predict these microstructural failure modes, we interrogated a finite-element database that was deterministically tailored and generated for large strain-dislocation-density crystalline plasticity and fracture modes. A database of 210 simulations was created to randomly sample from a group of microstructural fingerprints that encompass hydride volume fraction, hydride orientation, grain orientation, hydride length, and hydride spacing for a hydride that is physically representative of an aggregate of a hydride population. Machine learning approaches were then used to understand, identify, and characterize the dominant microstructural mechanisms and characteristics. We first used fat-tailed Cauchy distributions to determine the extreme events. A multilayer perceptron was used to learn the mechanistic characteristics of the material response to predefined strain levels and accurately determine the critical fracture stress response and the accumulated shear slips in critical regions. The predictions indicate that hydride volume fraction, a population-level parameter, had a significant effect on localized parameters, such as fracture stress distribution regions, and on the accumulated immobile dislocation densities both within the face centered cubic hydrides and the hexagonal cubic packed h.c.p. matrix.}, number={7}, journal={APL MATERIALS}, author={Hasan, T. and Capolungo, L. and Zikry, M. A.}, year={2023}, month={Jul} }
 @article{hasan_capolungo_zikry_2023, title={Predictive machine learning approaches for the microstructural behavior of multiphase zirconium alloys}, volume={13}, ISSN={["2045-2322"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85151742870&partnerID=MN8TOARS}, DOI={10.1038/s41598-023-32582-9}, abstractNote={Abstract}, number={1}, journal={SCIENTIFIC REPORTS}, author={Hasan, Tamir and Capolungo, Laurent and Zikry, Mohammed A. A.}, year={2023}, month={Apr} }
 @article{mohamed_hasan_zikry_2022, title={Thermomechanical Microstructural Predictions of Fracture Nucleation of Zircaloy-4 Alloys With delta and e Hydride Distributions}, volume={144}, ISSN={["1528-8889"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85127542533&partnerID=MN8TOARS}, DOI={10.1115/1.4051687}, abstractNote={Abstract}, number={1}, journal={JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME}, author={Mohamed, I. and Hasan, T. and Zikry, M. A.}, year={2022}, month={Jan} }
 @article{hasan_ziaei_zikry_2019, title={Microstructural Modeling of the Mechanical Behavior of Face-Centered Cubic Nanocrystalline-Twinned Systems}, volume={50A}, ISSN={["1543-1940"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85056852998&partnerID=MN8TOARS}, DOI={10.1007/s11661-018-5008-2}, number={2}, journal={METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE}, author={Hasan, Tamir S. and Ziaei, S. and Zikry, M. A.}, year={2019}, month={Feb}, pages={609–615} }
 @inproceedings{kribs_hutchins_reach_hasan_lyons_2014, title={Effects of hydrogen enrichment on the reattachment and hysteresis of lifted methane flames}, booktitle={Proceedings of the ASME Power Conference, 2013, vol 1}, author={Kribs, J. D. and Hutchins, A. R. and Reach, W. A. and Hasan, T. S. and Lyons, K. M.}, year={2014} }
 @article{kribs_moore_hasan_lyons_2013, title={Nitrogen-diluted methane flames in the near-and far-field}, volume={135}, number={4}, journal={Journal of Energy Resources Technology}, author={Kribs, J. and Moore, N. and Hasan, T. and Lyons, K.}, year={2013} }
 @inproceedings{hasan_kribs_lyons_2012, title={Influences of nitrogen dilution in the near flow field of transition regime lifted natural gas jet flames}, booktitle={Proceedings of the ASME International Mechanical Engineering Congress and Exposition, 2011, vol 1}, author={Hasan, T. S. and Kribs, J. D. and Lyons, K. M.}, year={2012}, pages={907–912} }