Nuclear Engineering - 2019 Diaconeasa, M. A., Mosleh, A., Morozov, A., & Tai, A. T. (2019). Model-based resilience assessment framework for autonomous systems. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 13. https://doi.org/10.1115/IMECE2019-12288 Chalgham, W., Diaconeasa, M., Gottumukkala, R., & Seibi, A. (2019). A numerical and experimental study supporting a methodology for live monitoring, leak detection, and automatic response in water pipelines. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 13. https://doi.org/10.1115/IMECE2019-11861 Chalgham, W., Diaconeasa, M., Wu, K.-Y., & Mosleh, A. (2019). A dynamic pipeline network health assessment software platform for optimal risk-based prioritization of inspection, structural health monitoring, and proactive management. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 13. https://doi.org/10.1115/IMECE2019-11806 Chalgham, W., Diaconeasa, M., Elgazzar, K., & Seibi, A. (2019). A smart pipeline monitoring and emergency response system using web services. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 13. https://doi.org/10.1115/IMECE2019-11825 Hayes, R. B. (2019). Retrospective uranium enrichment potential using solid state dosimetry techniques on ubiquitous building materials. Journal of Nuclear Material Management, 47(2), 4–12. Bao, H., Feng, J., Zhang, H., & Dinh, N. (2019). Demonstration of a data-driven approach for error estimation in two-phase flow simulation using coarse-mesh CFD. Transactions of the American Nuclear Society, 121, 1865–1868. https://doi.org/10.13182/31051 Tjayadi, L., Kumar, N., & Murty, K. L. (2019). Fracture Mechanics-Based Study of Stress Corrosion Cracking of SS304 Dry Storage Canister for Spent Nuclear Fuel. TMS 2019 148TH ANNUAL MEETING & EXHIBITION SUPPLEMENTAL PROCEEDINGS, pp. 1089–1097. https://doi.org/10.1007/978-3-030-05861-6_106 Aksan, N., Andreani, M., Bechta, S., Corradini, M., D’Auria, F., Dhir, V., … Zhang, J. (2019). The life and the contribution of B. R. Sehgal, G. Yadigaroglu and G. Hewitt: Remembrance statements. Nuclear Engineering and Design, 354. https://doi.org/10.1016/j.nucengdes.2019.110252 Liu, Y., & Dinh, N. (2019). Validation and Uncertainty Quantification for Wall Boiling Closure Relations in Multiphase-CFD Solver. Nuclear Science and Engineering, 193(1-2), 81–99. https://doi.org/10.1080/00295639.2018.1512790 Hanna, B., Son, T. C., & Dinh, N. (2019). An artificial intelligence-guided decision support system for the nuclear power plant management. 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019, 394–406. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85073712176&partnerID=MN8TOARS Liu, Y., Sun, X., Liu, Y., & Dinh, N. (2019). Uncertainty quantification and reduction for multiphase-CFD solvers: A data-driven Bayesian approach supported by high-resolution local measurements. 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019, 3582–3597. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85073755203&partnerID=MN8TOARS Chang, C.-W., Fang, J., & Dinh, N. T. (2019). Reynolds-averaged turbulence modeling using deep learning with local flow features. 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019, 1698–1711. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85073713566&partnerID=MN8TOARS Zhu, Y., Dinh, N., Hu, R., & Kraus, A. (2019). Development of a data-driven turbulence model for 3D thermal stratification simulation during reactor transients. 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019, 2223–2234. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85073734574&partnerID=MN8TOARS Lin, L., Dinh, N., Prescott, S., Bao, H., Montanari, N., & Sampath, R. (2019). Assessment of smoothed particle hydrodynamics methods for simulating the external-flooding scenario. 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019, 981–992. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85073736251&partnerID=MN8TOARS Bao, H., Youngblood, R., Zhang, H., Dinh, N., Lin, L., & Lane, J. (2019). A data-driven approach to scale bridging in system thermal-hydraulic simulation. 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2019, 6069–6082. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85073761938&partnerID=MN8TOARS Petty, C. C., Abadie, L., Abrams, T. W., Ahn, J., Akiyama, T., Aleynikov, P., … Zywicki, B. (2019). DIII-D research towards establishing the scientific basis for future fusion reactors. NUCLEAR FUSION, 59(11). https://doi.org/10.1088/1741-4326/ab024a Ahmed, M. W., Alarcon, R., Aleksandrova, A., Baessler, S., Barron-Palos, L., Bartoszek, L. M., … Young, A. R. (2019). A new cryogenic apparatus to search for the neutron electric dipole moment. JOURNAL OF INSTRUMENTATION, 14. https://doi.org/10.1088/1748-0221/14/11/P11017 Cook, J. A., Smith, R. C., Hite, J. M., Stefanescu, R., & Mattingly, J. (2019). Application and Evaluation of Surrogate Models for Radiation Source Search. ALGORITHMS, 12(12). https://doi.org/10.3390/a12120269 Fang, X. T., He, G. Z., Ruiz, M., Zheng, C., Wang, Y. F., Li, Z. K., & Zhu, Y. T. (2019). Influence of annealing parameters on the mechanical properties of heterogeneous lamella structured 5083 aluminum alloy. LETTERS ON MATERIALS, 9(4), 556–560. https://doi.org/10.22226/2410-3535-2019-4-556-560 Hayes, R. B., O’Mara, R. P., & Abdelrahman, F. (2019). Opportunities for a graded approach in air sample assay and triage. 41st ESARDA Annual Meeting symposium on safeguards and nuclear material management. Presented at the 41st ESARDA Annual Meeting, Stressa, Italy. https://doi.org/10.2760/159550 Almousa, N. M., & Bourham, M. (2019). Performance of Capillary Plasma Source With Combustible Materials. IEEE TRANSACTIONS ON PLASMA SCIENCE, 47(11), 4873–4878. https://doi.org/10.1109/TPS.2019.2940429 Śmiłowicz, D., Kogelheide, F., Stapelmann, K., Awakowicz, P., & Metzler-Nolte, N. (2019). Study on Chemical Modifications of Glutathione by Cold Atmospheric Pressure Plasma (Cap) Operated in Air in the Presence of Fe(II) and Fe(III) Complexes. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-53538-y Joshi, P., Tillman, M., Kumar, N., Murty, K., & Cinbiz, N. (2019). Biaxial Creep Behavior of Nb-Modified Zircaloys. NUCLEAR TECHNOLOGY. https://doi.org/10.1080/00295450.2019.1674581 Porter, N. W., Mousseau, V. A., & Avramova, M. N. (2019). Quantified Validation with Uncertainty Analysis for Turbulent Single-Phase Friction Models. NUCLEAR TECHNOLOGY, Vol. 205, pp. 1607–1617. https://doi.org/10.1080/00295450.2018.1548221 Petruzzi, A., Ivanov, K., & Ivanov, E. (2019). Selected papers from the 2018 Best Estimate Plus Uncertainty International Conference (BEPU 2018) Foreword. NUCLEAR TECHNOLOGY, Vol. 205, pp. III-IV. https://doi.org/10.1080/00295450.2019.1676080 Kombaiah, B., Sarkar, A., & Murty, K. L. (2019). Effect of hydriding on the creep behavior of HANA-4 zirconium alloy. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 767. https://doi.org/10.1016/j.msea.2019.138435 Hany, I., Yang, G., Zhou, C. E., Sun, C., Gundogdu, K., Seyitliyev, D., … Vetter, E. (2019). Low temperature cathodoluminescence study of Fe-doped beta-Ga2O3. MATERIALS LETTERS, 257. https://doi.org/10.1016/j.matlet.2019.126744 Toptan, A., Kropaczek, D. J., & Avramova, M. N. (2019). Gap conductance modeling II: Optimized model for UO2-Zircaloy interfaces. NUCLEAR ENGINEERING AND DESIGN, 355. https://doi.org/10.1016/j.nucengdes.2019.110289 Icenhour, C. T., Lindsay, A. D., Martineau, R. C., & Shannon, S. (2019). Electromagnetics Simulations with Vector-valued Finite Elements in MOOSE. In Idaho National Laboratory Report (No. INL/CON-18-52320-Rev000). Offerhaus, B., Kogelheide, F., Jalat, D., Bibinov, N., Schulze, J., Stapelmann, K., & Awakowicz, P. (2019). Determination of NO densities in a surface dielectric barrier discharge using optical emission spectroscopy. Journal of Applied Physics. https://doi.org/10.1063/1.5094894 Hayes, R. B., O’Mara, R. P., & Hooper, D. A. (2019). Initial TL/OSL/EPR Considerations for commercial diatomaceous earth in retrospective dosimetry and dating. Radiation Protection Dosimetry, 1-10. https://doi.org/10.1093/rpd/ncz013 Dai, J. H., Zeng, L. G., Li, Z. J., Chai, L. J., Zheng, Z. Y., Wu, H., … Guo, N. (2019). Misorientation characteristics and textural changes induced by dense twins in high-purity Ti sheet after small strain rolling. SCIENCE CHINA-TECHNOLOGICAL SCIENCES. https://doi.org/10.1007/s11431-019-9555-9 Fang, M., Zhang, S., Zhang, W., Jiang, L., Vetter, E., Lee, H. N., … Shen, J. (2019). Nonvolatile Multilevel States in Multiferroic Tunnel Junctions. PHYSICAL REVIEW APPLIED, 12(4). https://doi.org/10.1103/PhysRevApplied.12.044049 Pathak, S., Kumar, N., Mishra, R. S., & De, P. S. (2019). Aqueous Corrosion Behavior of Cast CoCrFeMnNi Alloy. JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE. https://doi.org/10.1007/s11665-019-04329-z Coburn, J. D., Gebhart, T. E., Parish, C. M., Unterberg, E., Canik, J., Barsoum, M. W., & Bourham, M. (2019). Surface Erosion of Plasma-Facing Materials Using an Electrothermal Plasma Source and Ion Beam Micro-Trenches. FUSION SCIENCE AND TECHNOLOGY, 75(7), 621–635. https://doi.org/10.1080/15361055.2019.1623570 Ytre-Hauge, K. S., Skjerdal, K., Mattingly, J., & Meric, I. (2019). A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy (vol 170, 09001, 2018). SCIENTIFIC REPORTS, Vol. 9. https://doi.org/10.1038/s41598-019-49488-0 Toptan, A., Kropaczek, D. J., & Avramova, M. N. (2019). Gap conductance modeling I: Theoretical considerations for single- and multi-component gases in curvilinear coordinates. NUCLEAR ENGINEERING AND DESIGN, 353. https://doi.org/10.1016/j.nucengdes.2019.110283 Raj, A., & Eapen, J. (2019). Exact diagonal representation of normal mode energy, occupation number, and heat current for phonon-dominated thermal transport. JOURNAL OF CHEMICAL PHYSICS, 151(10). https://doi.org/10.1063/1.5099936 Nyalunga, G. P., Naicker, V. V., & Ivanov, K. (2019). Quantification and propagation of neutronics uncertainties of the Kozloduy-6 VVER-1000 fuel assembly using SCALE 6.2.1 within the NEA/OECD benchmark for uncertainty analysis in modelling of LWRs. ANNALS OF NUCLEAR ENERGY, 133, 732–749. https://doi.org/10.1016/j.anucene.2019.07.016 Yan, J., Mueller, J. M., Ahmed, M. W., Hao, H., Huang, S., Li, J., … Wu, Y. K. (2019). Precision control of gamma-ray polarization using a crossed helical undulator free-electron laser. NATURE PHOTONICS, 13(9), 629–635. https://doi.org/10.1038/s41566-019-0467-6 Kim, K. S., Gentry, C. A., Godfrey, A. T., Liu, Y., & Palmtag, S. (2019). Development of the multigroup cross section library for the CASL neutronics simulator MPACT: Verification. ANNALS OF NUCLEAR ENERGY, 132, 1–23. https://doi.org/10.1016/j.anucene.2019.03.041 Liu, Y., Sun, X., & Dinh, N. T. (2019). Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments. NUCLEAR ENGINEERING AND DESIGN, 354. https://doi.org/10.1016/j.nucengdes.2019.110200 Cope, S. J., & Hayes, R. B. (2019). Incremental Gains in Transuranic Activity Analysis in Air Samples for Radiological Emergency Response. Nuclear Technology, 205(9), 1219–1235. https://doi.org/10.1080/00295450.2019.1590074 Athe, P., & Dinh, N. (2019). A framework for assessment of predictive capability maturity and its application in nuclear thermal hydraulics. NUCLEAR ENGINEERING AND DESIGN, 354. https://doi.org/10.1016/j.nucengdes.2019.110201 Zhang, Z., Yang, G., Zhou, C., Chung, C.-C., & Hany, I. (2019). Optical and electrical properties of all-inorganic Cs2AgBiBr6 double perovskite single crystals. RSC ADVANCES, 9(41), 23459–23464. https://doi.org/10.1039/c9ra04045e Chai, L., Xiang, K., Xia, J., Fallah, V., Murty, K. L., Yao, Z., & Gan, B. (2019). Effects of pulsed laser surface treatments on microstructural characteristics and hardness of CrCoNi medium-entropy alloy. PHILOSOPHICAL MAGAZINE. https://doi.org/10.1080/14786435.2019.1649499 Schmidt, K., Smith, R. C., Hite, J., Mattingly, J., Azmy, Y., Rajan, D., & Goldhahn, R. (2019). Sequential optimal positioning of mobile sensors using mutual information. STATISTICAL ANALYSIS AND DATA MINING. https://doi.org/10.1002/sam.11431 Cornejo, L. R., Anistratov, D. Y., & Smith, K. (2019). Iteration Methods with Multigrid in Energy for Eigenvalue Neutron Diffusion Problems. NUCLEAR SCIENCE AND ENGINEERING, 193(8), 803–827. https://doi.org/10.1080/00295639.2019.1573601 Zheng, C., Reese, E. R., Field, K. G., Marquis, E., Maloy, S. A., & Kaoumi, D. (2019). Microstructure response of ferritic/martensitic steel HT9 after neutron irradiation: effect of dose. JOURNAL OF NUCLEAR MATERIALS, 523, 421–433. https://doi.org/10.1016/j.jnucmat.2019.06.019 Kaoumi, D., & Jammot, V. (2019). Insights into the plastic behavior of irradiated Ni-based alloy through in-situ TEM experiments: Formation and evolution of defect-free channels. JOURNAL OF NUCLEAR MATERIALS, 523, 33–42. https://doi.org/10.1016/j.jnucmat.2019.05.037 Sayyed, M., Kaky, K. M., Mhareb, M. H. A., Abdalsalam, A. H., Almousa, N., Shkoukani, G., & Bourham, M. A. (2019). Borate multicomponent of bismuth rich glasses for gamma radiation shielding application. RADIATION PHYSICS AND CHEMISTRY, 161, 77–82. https://doi.org/10.1016/j.radphyschem.2019.04.005 Stefanescu, R., Hite, J., Cook, J., Smith, R. C., & Mattingly, J. (2019). Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem. ALGORITHMS, 12(6). https://doi.org/10.3390/a12060113 Bennett, A., Martin, N., & Avramova, M. (2019). A surrogate model based on sparse grid interpolation for boiling water reactor subchannel void distribution. ANNALS OF NUCLEAR ENERGY, 131, 51–62. https://doi.org/10.1016/j.anucene.2019.03.022 Zhang, Y., Tang, B., Jia, W. B., Zhang, X., Wang, R., Li, F., & Gardner, R. (2019). Application of the Monte Carlo Library Least-Squares (MCLLS) approach for chromium quantitative analysis in aqueous solution. APPLIED RADIATION AND ISOTOPES, 150, 39–42. https://doi.org/10.1016/j.apradiso.2019.02.018 Liao, Z., Luan, B., Zhang, X., Liu, R., Murty, K. L., & Liu, Q. (2019). The effects of increasing deformation strain on the microstructural evolution of a metastable beta-Zr alloy. JOURNAL OF ALLOYS AND COMPOUNDS, 800, 208–218. https://doi.org/10.1016/j.jallcom.2019.05.334 Liu, Y., Dinh, N. T., Smith, R. C., & Sun, X. (2019). Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 138, 1096–1116. https://doi.org/10.1016/j.ijheatmasstransfer.2019.04.075 Cope, S. J., & Hayes, R. B. (2019). Validation of a rapid, conservative transuranic alpha activity estimation method in air samples. Journal of Radiological Protection, 39(3), 749–765. https://doi.org/10.1088/1361-6498/ab1bfd Wu, X., Shirvan, K., & Kozlowski, T. (2019). Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification. Journal of Computational Physics, 396, 12–30. https://doi.org/10.1016/j.jcp.2019.06.032 Wang, C., Wu, X., & Kozlowski, T. (2019). Gaussian Process–Based Inverse Uncertainty Quantification for TRACE Physical Model Parameters Using Steady-State PSBT Benchmark. Nuclear Science and Engineering, 193(1-2), 100–114. https://doi.org/10.1080/00295639.2018.1499279 Coburn, J., Unterberg, E., Barton, J., Rudakov, D., Bykov, I., Parish, C. M., … Bourham, M. (2019). Erosion characterization of SiC and Ti3SiC2 on DIII-D using focused ion beam micro-trenches. NUCLEAR MATERIALS AND ENERGY, 19, 316–323. https://doi.org/10.1016/j.nme.2019.02.036 Morrison, M. L., Gould, J., Charit, I., & Hassan, T. (2019). Performance Evaluation of Surface-Activated Solid-State Welding for ASTM A992 Structural Steel. JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 31(8). https://doi.org/10.1061/(ASCE)MT.1943-5533.0002805 Dacus, B., Beeler, B., & Schwen, D. (2019). Calculation of threshold displacement energies in UO2. JOURNAL OF NUCLEAR MATERIALS, 520, 152–164. https://doi.org/10.1016/j.jnucmat.2019.04.002 Chapman, P., Mueller, J., Newby, J., & Mattingly, J. (2019). Exploiting fission chain reaction dynamics to image fissile materials. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 935, 198–206. https://doi.org/10.1016/j.nima.2019.05.001 Toptan, A., Kropaczek, D. J., & Avramova, M. N. (2019). On the validity of the dilute gas assumption for gap conductance calculations in nuclear fuel performance codes. NUCLEAR ENGINEERING AND DESIGN, 350, 1–8. https://doi.org/10.1016/j.nucengdes.2019.04.042 Hidalga, P., Abarca, A., Miro, R., Sekrhi, A., & Verdu, G. (2019). [Review of A multi-scale and multi-physics simulation methodology with the state-of-the-art tools for safety analysis in light water reactors applied to a turbine trip scenario (PART I)]. NUCLEAR ENGINEERING AND DESIGN, 350, 195–204. https://doi.org/10.1016/j.nucengdes.2019.05.008 Kropaczek, D. J., & Walden, R. (2019). Large-Scale Application of the Constraint Annealing Method for Pressurized Water Reactor Core Design Optimization. NUCLEAR SCIENCE AND ENGINEERING, 193(5), 523–536. https://doi.org/10.1080/00295639.2018.1550970 Kropaczek, D. J., & Walden, R. (2019). Constraint Annealing Method for Solution of Multiconstrained Nuclear Fuel Cycle Optimization Problems. NUCLEAR SCIENCE AND ENGINEERING, 193(5), 506–522. https://doi.org/10.1080/00295639.2018.1554173 Hidalga, P., Abarca, A., Miro, R., Sekrhi, A., & Verdu, G. (2019). [Review of A multi-scale and multi-physics simulation methodology with the state-of-the-art tools for safety analysis in Light Water Reactors applied to a Turbine Trip scenario (Part II)]. NUCLEAR ENGINEERING AND DESIGN, 350, 205–213. https://doi.org/10.1016/j.nucengdes.2019.05.009 Khuwaileh, B., Williams, B., Turinsky, P., & Hartanto, D. (2019). Verification of Reduced Order Modeling based Uncertainty/Sensitivity Estimator (ROMUSE). NUCLEAR ENGINEERING AND TECHNOLOGY, 51(4), 968–976. https://doi.org/10.1016/j.net.2019.01.020 Zafar, A., Martin, E., & Shannon, S. (2019). Doppler-free, Stark broadened profiles at low plasma densities in helium. Journal of Quantitative Spectroscopy and Radiative Transfer, 230, 48–55. https://doi.org/10.1016/j.jqsrt.2019.03.020 Zimmer, M. D., & Bolotnov, I. A. (2019). Slug-to-churn vertical two-phase flow regime transition study using an interface tracking approach. INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 115, 196–206. https://doi.org/10.1016/j.ijmultiphaseflow.2019.04.003 Raj, A., & Eapen, J. (2019). Deducing Phonon Scattering from Normal Mode Excitations. SCIENTIFIC REPORTS, 9. https://doi.org/10.1038/s41598-019-43306-3 Sayyed, M. I., Mhareb, M. H. A., Abbas, Z. Y., Almousa, N., Laariedh, F., Kaky, K. M., & Baki, S. O. (2019). Structural, optical, and shielding investigations of TeO2-GeO2-ZnO-Li2O-Bi2O3 glass system for radiation protection applications. APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 125(6). https://doi.org/10.1007/s00339-019-2709-3 Bao, H., Dinh, N. T., Lane, J. W., & Youngblood, R. W. (2019). A data-driven framework for error estimation and mesh-model optimization in system-level thermal-hydraulic simulation. NUCLEAR ENGINEERING AND DESIGN, 349, 27–45. https://doi.org/10.1016/j.nucengdes.2019.04.023 Porter, N. W., Mousseau, V. A., & Avramova, M. N. (2019). CTF-R: A novel residual-based thermal hydraulic solver. NUCLEAR ENGINEERING AND DESIGN, 348, 37–45. https://doi.org/10.1016/j.nucengdes.2019.04.006 Khuwaileh, B. A., & Turinsky, P. J. (2019). Non-linear, time dependent target accuracy assessment algorithm for multi-physics, high dimensional nuclear reactor calculations. PROGRESS IN NUCLEAR ENERGY, 114, 227–233. https://doi.org/10.1016/j.pnucene.2019.01.023 Roy, U. N., Camarda, G. S., Cui, Y., Gul, R., Yang, G., Zazvorka, J., … James, R. B. (2019). Evaluation of CdZnTeSe as a high-quality gamma-ray spectroscopic material with better compositional homogeneity and reduced defects. SCIENTIFIC REPORTS, 9. https://doi.org/10.1038/s41598-019-43778-3 Coumou, D. J., Smith, S. T., Peterson, D. J., & Shannon, S. C. (2019). Time-Resolved Electron Density Measurement Characterization of E–H-Modes for Inductively Coupled Plasma Instabilities. IEEE Transactions on Plasma Science, 47(5), 2102–2109. https://doi.org/10.1109/TPS.2019.2909476 Chang, C.-W., & Dinh, N. T. (2019). Classification of machine learning frameworks for data-driven thermal fluid models. INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 135, 559–579. https://doi.org/10.1016/j.ijthermalsci.2018.09.002 Sihlangu, S. F., Naicker, V. V., Hou, J., & Reitsma, F. (2019). Further development of methodology to model TRISO fuel and BISO absorber particles and related uncertainty quantification using SCALE 6. Journal of Nuclear Science and Technology, 56(8), 690–709. https://doi.org/10.1080/00223131.2019.1617204 Zeng, K., Hou, J., Ivanov, K., & Jessee, M. A. (2019). Uncertainty Quantification and Propagation of Multiphysics Simulation of the Pressurized Water Reactor Core. Nuclear Technology, 205(12), 1618–1637. https://doi.org/10.1080/00295450.2019.1580533 Li, M., Zeng, K., Wonnell, L., & Bolotnov, I. A. (2019). Development of a New Contact Angle Control Algorithm for Level-Set Method. JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 141(6). https://doi.org/10.1115/1.4041987 Lackmann, J.-W., Bruno, G., Jablonowski, H., Kogelheide, F., Offerhaus, B., Held, J., … Wende, K. (2019). Nitrosylation vs. oxidation – How to modulate cold physical plasmas for biological applications. PLOS ONE, 14(5), 1–25. https://doi.org/10.1371/journal.pone.0216606 Sorrell, N. C., & Hawari, A. I. (2019, June). TREAT M2 experiment modeling for transient benchmark analysis. ANNALS OF NUCLEAR ENERGY, Vol. 128, pp. 398–405. https://doi.org/10.1016/j.anucene.2019.01.026 Manring, C. A., & Hawaii, A. I. (2019, June). Assessment of thermal neutron scattering in a heavy paraffinic molecular material. ANNALS OF NUCLEAR ENERGY, Vol. 128, pp. 140–147. https://doi.org/10.1016/j.anucene.2018.12.042 Marsh, C., Schoell, R., & Kaoumi, D. (2019). Environmental effect on mechanical properties of a gamma-prime strengthened nickel-based alloy: Effect of the surface oxidation and formation of gamma-prime free zones. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 752, 136–144. https://doi.org/10.1016/j.msea.2019.03.013 Mishra, M., Mattingly, J., & Kolbas, R. M. (2019). Application of deconvolution to recover frequency-domain multiplexed detector pulses. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 929, 57–65. https://doi.org/10.1016/j.nima.2019.03.043 Wang, J. M., Luan, B. F., Xin, R. L., Xing, Q. F., Murty, K. L., Cayron, C., & Liu, Q. (2019). Experimental and theoretical investigation of crystallography and variant selection during massive transformation in Zr alloy. PHILOSOPHICAL MAGAZINE, 99(10), 1163–1183. https://doi.org/10.1080/14786435.2019.1574408 Alomari, A. S., Kumar, N., & Murty, K. L. (2019). Serrated yielding in an advanced stainless steel Fe-25Ni-20Cr (wt%). MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 751, 292–302. https://doi.org/10.1016/j.msea.2019.02.023 Raj, A., & Eapen, J. (2019). Phonon dispersion using the ratio of zero-time correlations among conjugate variables: Computing full phonon dispersion surface of graphene. COMPUTER PHYSICS COMMUNICATIONS, 238, 124–137. https://doi.org/10.1016/j.cpc.2018.12.008 Weldon, R. A., Jr., Mueller, J. M., Lynch, C., Schuster, P., Hedges, S., Awe, C., … Mattingly, J. (2019). High-precision characterization of the neutron light output of stilbene along the directions of maximum and minimum response. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 927, 313–319. https://doi.org/10.1016/j.nima.2018.10.075 Barr, C. M., El-Atwani, O., Kaoumi, D., & Hattar, K. (2019). [Review of Interplay Between Grain Boundaries and Radiation Damage]. JOM, 71(4), 1233–1244. https://doi.org/10.1007/s11837-019-03386-y Frick, K., Doster, J. M., & Bragg-Sitton, S. (2019). Design and Operation of a Sensible Heat Peaking Unit for Small Modular Reactors. NUCLEAR TECHNOLOGY, 205(3), 415–441. https://doi.org/10.1080/00295450.2018.1491181 Zhang, Q., Zhang, F., Yuan, C., Wang, X., & Zhang, X. (2019). A comparative study on the neutron-gamma density and gamma-gamma density logging. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 176, 792–799. https://doi.org/10.1016/j.petrol.2019.02.007 Naumova, E. A., Engel, A.-S., Kranz, H. T., Schneider, M., Tietze, J., Dittmar, T., … Arnold, W. H. (2019). Low-Pressure Plasma Sterilization for Test Specimens to be Worn on Splints in the Oral Cavity. COATINGS, 9(2), 99. https://doi.org/10.3390/coatings9020099 Fusco, M. A., Oldham, C. J., & Parsons, G. N. (2019). Investigation of the Corrosion Behavior of Atomic Layer Deposited Al2O3/TiO2 Nanolaminate Thin Films on Copper in 0.1 M NaCl. MATERIALS, 12(4). https://doi.org/10.3390/ma12040672 List, T., Ma, T., Arora, P., Donnelly, V. M., & Shannon, S. (2019). Complex transients in power modulated inductively-coupled chlorine plasmas. Plasma Sources Science and Technology, 28(2), 025005. https://doi.org/10.1088/1361-6595/ab000c Ytre-Hauge, K. S., Skjerdal, K., Mattingly, J., & Meric, I. (2019). A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy. SCIENTIFIC REPORTS, 9. https://doi.org/10.1038/s41598-019-38611-w Roy, U. N., Camarda, G. S., Cui, Y., Gul, R., Hossain, A., Yang, G., … James, R. B. (2019). Role of selenium addition to CdZnTe matrix for room-temperature radiation detector applications. SCIENTIFIC REPORTS, 9. https://doi.org/10.1038/s41598-018-38188-w Zheng, C., Ke, J.-H., Maloy, S. A., & Kaoumi, D. (2019). Correlation of in-situ transmission electron microscopy and microchemistry analysis of radiation-induced precipitation and segregation in ion irradiated advanced ferritic/martensitic steels. SCRIPTA MATERIALIA, 162, 460–464. https://doi.org/10.1016/j.scriptamat.2018.12.018 Hayes, R. B., & O'Mara, R. P. (2019). Retrospective dosimetry at the natural background level with commercial surface mount resistors. Radiation Measurements, 121, 42–48. https://doi.org/10.1016/j.radmeas.2018.12.007 Ford, K., Peterson, D. J., Brandon, J., Nam, S. K., Walker, D., & Shannon, S. C. (2019). Measurement of localized plasma perturbation with hairpin resonator probes. Physics of Plasmas, 26(1), 013510. https://doi.org/10.1063/1.5065509 Roy, U. N., Camarda, G. S., Cui, Y., Gul, R., Hossain, A., Yang, G., … James, R. B. (2019). Growth of CdMnTe free of large Te inclusions using the vertical Bridgman technique. JOURNAL OF CRYSTAL GROWTH, 509, 35–39. https://doi.org/10.1016/j.jcrysgro.2018.12.026 Alomari, A. S., Kumar, N., & Murty, K. L. (2019). Creep Behavior and Microstructural Evolution of a Fe-20Cr-25Ni (Mass Percent) Austenitic Stainless Steel (Alloy 709) at Elevated Temperatures. METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 50A(2), 641–654. https://doi.org/10.1007/s11661-018-5044-y Zheng, C., Schoell, R., Hosemann, P., & Kaoumi, D. (2019). Ion irradiation effects on commercial PH 13-8 Mo maraging steel Corrax. JOURNAL OF NUCLEAR MATERIALS, 514, 255–265. https://doi.org/10.1016/j.jnucmat.2018.11.041 Liao, Z., Luan, B., Zhang, X., Xing, Q., Liu, R., Murty, K. L., & Liu, Q. (2019). Study of deformation mechanisms in a metastable beta Zr alloy during compression. MATERIALS LETTERS, 237, 172–175. https://doi.org/10.1016/j.matlet.2018.11.043 Chang, H. P., Meric, I., Sudac, D., Nad, K., Obhodas, J., Hou, G., … Gardner, R. P. (2019). Implementation of the Monte Carlo Library Least-Squares (MCLLS) approach for quantification of the chlorine impurity in an on-line crude oil monitoring system. RADIATION PHYSICS AND CHEMISTRY, 155, 197–201. https://doi.org/10.1016/j.radphyschem.2018.05.012 Hite, J., & Mattingly, J. (2019). Bayesian Metropolis methods for source localization in an urban environment. RADIATION PHYSICS AND CHEMISTRY, 155, 271–274. https://doi.org/10.1016/j.radphyschem.2018.06.024 Feinberg, A., & Gardner, R. P. (2019). Uncertainty quantification for Gamma-ray spectroscopy using the Library-Least Squares technique. RADIATION PHYSICS AND CHEMISTRY, 155, 191–196. https://doi.org/10.1016/j.radphyschem.2018.08.015 Toptan, A., Salko, R. K., Avramova, M. N., Clarno, K., & Kropaczek, D. J. (2019). A new fuel modeling capability, CTFFuel, with a case study on the fuel thermal conductivity degradation. NUCLEAR ENGINEERING AND DESIGN, 341, 248–258. https://doi.org/10.1016/j.nucengdes.2018.11.010 Hite, J., Mattingly, J., Archer, D., Willis, M., Rowe, A., Bray, K., … Ghawaly, J. (2019). Localization of a radioactive source in an urban environment using Bayesian Metropolis methods. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 915, 82–93. https://doi.org/10.1016/j.nima.2018.09.032 Anistratov, D. Y. (2019). Stability analysis of a multilevel quasidiffusion method for thermal radiative transfer problems. JOURNAL OF COMPUTATIONAL PHYSICS, 376, 186–209. https://doi.org/10.1016/j.jcp.2018.09.034 Balzer, J., Demir, E., Kogelheide, F., Fuchs, P. C., Stapelmann, K., & Oplaender, C. (2019). Cold atmospheric plasma (CAP) differently affects migration and differentiation of keratinocytes via hydrogen peroxide and nitric oxide-related products. CLINICAL PLASMA MEDICINE, 13, 1–8. https://doi.org/10.1016/j.cpme.2018.11.001