Education

Research Description

Dr. Azmy's research is focused on the development, implementation, and analysis of advanced methods and solution techniques for particle transport problems. This defines an area within the broader field of nuclear computational science whose ultimate purpose is to provide the community of nuclear scientists and engineers with advanced computational codes that comprise an enabling technology for addressing a multitude of problems involving particle and radiation transport phenomena. In this regard he contributed to Oak Ridge National Laboratory's DOORS code package that includes, among others, the renowned DORT and TORT codes, serving as lead developer of the latter in the late nineties.

Publications

Hybrid approaches for accelerated convergence of block-Jacobi iterative methods for solution of the neutron transport equation

Hoagland, D. S., & Azmy, Y. Y. (2021), JOURNAL OF COMPUTATIONAL PHYSICS, 439. https://doi.org/10.1016/j.jcp.2021.110382

On the Regularity Order of the Pointwise Uncollided Angular Flux and Asymptotic Convergence of the Discrete Ordinates Approximation of the Scalar Flux

Hu, X., & Azmy, Y. Y. (2021), NUCLEAR SCIENCE AND ENGINEERING, 195(6), 598–613. https://doi.org/10.1080/00295639.2020.1860634

Solution Irregularity Remediation for Spatial Discretization Error Estimation for S-N Transport Solutions

Hart, N. H., & Azmy, Y. Y. (2021, November 8), NUCLEAR SCIENCE AND ENGINEERING. https://doi.org/10.1080/00295639.2021.1982548

Solution of the Neutron Transport Equation on Unstructured Grids Using the Parallel Block Jacobi-Integral Transport Matrix Method via the Novel Green's Function ITMM Construction Algorithm on Massively Parallel Computer Systems

Hoagland, D. S., Yessayan, R. A., & Azmy, Y. Y. (2021, May 10), NUCLEAR SCIENCE AND ENGINEERING. https://doi.org/10.1080/00295639.2021.1898309

Asymptotic convergence of the angular discretization error in the scalar flux computed from the particle transport equation with the method of discrete ordinates

Hu, X., & Azmy, Y. Y. (2020), ANNALS OF NUCLEAR ENERGY, 138. https://doi.org/10.1016/j.anucene.2019.107199

Sequential optimal positioning of mobile sensors using mutual information

Schmidt, K., Smith, R. C., Hite, J., Mattingly, J., Azmy, Y., Rajan, D., & Goldhahn, R. (2019), STATISTICAL ANALYSIS AND DATA MINING, 12(6), 465–478. https://doi.org/10.1002/sam.11431

Numerical convergence and validation of the DIMP inverse particle transport model

Nelson, N., & Azmy, Y. (2017), Nuclear Engineering and Technology, 49(6), 1358–1367. https://doi.org/10.1016/J.NET.2017.07.009

Validation and uncertainty quantification of detector response functions for a 1″×2″ NaI collimated detector intended for inverse radioisotope source mapping applications

Nelson, N., Azmy, Y., Gardner, R. P., Mattingly, J., Smith, R., Worrall, L. G., & Dewji, S. (2017), Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 410, 1–15. https://doi.org/10.1016/J.NIMB.2017.07.015

Recent Studies on the Asymptotic Convergence of the Spatial Discretization for Two-Dimensional Discrete Ordinates Solutions

Barichello, L. B., Tres, A., Picoloto, C. B., & Azmy, Y. Y. (2016), JOURNAL OF COMPUTATIONAL AND THEORETICAL TRANSPORT, 45(4), 299–313. https://doi.org/10.1080/23324309.2016.1171242

Comparison of spatial discretization methods for solving the S-N equations using a three-dimensional method of manufactured solutions benchmark suite with escalating order of nonsmoothness

Schunert, S., & Azmy, Y. (2015), Nuclear Science and Engineering, 180(1), 1–29. https://doi.org/10.13182/nse14-77

View all publications via NC State Libraries