Furlong, A., Watson, J. K., Shriver, F., \u201cInvestigation of Monte Carlo trained CNNs for neutronics predictions of typical and atypical PWR assemblies,\u201d Progress in Nuclear Energy, Vol. 166, 104961, November (2023)<\/p>\n
Smola, T., Watson, J. K., Hancock, S., Westover, T., Yeh, H., Umholtz, J., \u201cIntegrated Thermohydraulic Transient Testing of Steam Extraction Loop System to Support Joint Electricity-Hydrogen Production Using Generic Boiling Water Reactor,\u201d Progress in Nuclear Energy, Vol. 160, 104692, June (2023)<\/p>\n
Shriver, F., Watson, J. K., \u201cPhysically Adversarial Thermal Hydraulics Evaluation of Deep Learning Models for Pressurized Water Reactors,\u201d Progress in Nuclear Energy, doi:10.1016\/j.pnucene.2022.104149 (2022)<\/p>\n
Shriver, F., Watson, J. K., \u201cScaling Deep Learning for Whole-Core Reactor Simulation,\u201d Progress in Nuclear Energy, doi:10.1016\/j.pnucene.2022.104134 (2022)<\/p>\n
Shriver, F., Gentry, C., Watson, J. K., “Prediction of Neutronics Parameters within a 2D Reflective PWR Assembly Using Deep Learning,” Nuclear Science and Engineering, Taylor & Francis, 0, 1-22 (2021)<\/p>\n
Garrett, G., Watson, J. K., “Comparison of water, helium, and carbon dioxide as coolants for next generation power plants using TRACE”, Annals of Nuclear Energy, 2019, 126, pp 292-302<\/p>\n
Huang, Y, Cannon, F. S., Gou, J., Watson, J. K., Mathews, J. P., “Atomistic Modeling insight into the Structure of Lignite-Based Activated Carbon, and Behavior of Benzene Sorption,” RSC Advances, 2016, 6, 56623-37<\/p>\n
Wang, Chang\u2019an, Watson, J. K., Louw, E., Mathews, J. P., ”A Construction Strategy for Atomistic Models of Coal Chars Capturing Stacking Diversity and Pore Size Distribution”, Energy & Fuels, 2015, 29(8), pp 4814-4826<\/p>\n
Huang, Y., Cannon, F.S., Watson, J. K., Reznik, B., Mathews, J. P., “Activated Carbon Efficient Atomistic Model Construction that Depicts Experimentally-Determined Characteristics”, Carbon, 2015, 83, pp 1-14<\/p>\n
Alvarez, Y. E., Moreno, B. M., Klein, M. T., Watson, J. K., Castro-Mareano, F., Mathews, J. P., “A Novel Simplification Approach for Large-Scale Structural Models of Coal: 3D Molecules to 2D Lattices. 3. Reactive Lattice Simulations”, Energy & Fuels, 2013, 27, 2915-2922<\/p>\n
Ellis, M. S., Watson, J. K., Ivanov, K., “Progress in the Development of an Implicit Steady State Solution in the Coupled Code TRACE\/PARCS”, Progress in Nuclear Energy, 66, pp 1-12, 2013<\/p>\n
Watson, J. K., Ivanov, K. N., “Demonstration of Implicit Coupling of TRACE\/PARCS Using Simplified One-Dimensional Problems”, Nuclear Technology, Vol 180, \\#2, November 2012, 174-190<\/p>\n
Alvarez, Y. E., Watson, J. C. K., Mathews, J. P., “A Novel Simplification Approach for Large-Scale Structural Models of Coal: 3D Molecules to 2D Lattices. 1. Lattice Creation”, Energy & Fuels, 2012, 26, 4938-45<\/p>\n
Alvarez, Y. E., Watson, J. K., Pou, J. O., Mathews, J. P., “A Novel Simplification Approach for Large-Scale Structural Models of Coal: 3D Molecules to 2D Lattices. 2. Visualization Capabilities”, Energy \\& Fuels, 2012, 26, 4946-52<\/p>\n
Pou, J., Alvarez, Y. E., Watson, J. K., Pisupati, S., Mathews, J. P., “Co-primary thermolysis molecular modeling simulation of lignin and subbituminous coal via a reactive coarse-grained simplification”, Journal of Analytical and Applied Pyrolysis, 2012, 95, 101-11<\/p>\n
Castro-Marcano, F., Winans, R. E., Chupas, P., Chapman, K., Calo, J. M., Watson, J. K., Mathews, J. P., “Fine Structure Evaluation of the Pair Distribution Function with Molecular Models of the Argonne Premium Coals”, Energy Fuels 2012, ASAP DOI 10.1021\/ef300364e<\/p>\n
Fernandez-Also, V., Watson, J. K., Vander Wal, R., Mathews, J. P., “Soot and char molecular representations generated directly from HRTEM lattice fringe images using Fringe3D”, Combustion & Flame, 2011, 158, (9), 1807-13<\/p>\n
Watson, J. K., K. N. Ivanov, 2002, “Improved Cross Section Modeling Methodology for Coupled Three-Dimensional Transient Simulation”, Annals of Nuclear Energy 29, 937-966<\/p>\n
(Invited) Watson, J. K., \u201cDigital Twin \u2013 Physics Modeling and ML\/AI for Generation IV Reactors,\u201d Panel 9 \u2013 Digital and Intelligent Technology Applications in Advanced NPPs, ICONE 29, Shenzhen, China, August 8-12 (2022)<\/p>\n
(Invited) Watson, J. K., Shriver, F., Furlong, A. \u201cPrediction of PWR Pin Powers using Convolutional Neutral Networks,\u201d PHYSOR 2022 : Scientific Machine Learning for Nuclear Engineering Applications Workshop, Pittsburgh Pa, May 15-20 (2022)<\/p>\n
Furlong, A., Shriver, F., Watson, J. K., \u201cUsing Neural Networks to Predict Pin Powers in Reflective PWR Fuel Assemblies with Varying Pin Size,\u201d PHYSOR 2022, Pittsburgh Pa, May 15-20, (2022)<\/p>\n
Furlong, A.U, Shriver, F.G, Watson, J. K., \u201cApplication of LatticeNet Deep Learning Architecture on Neutronics Predictions Using OpenMC,\u201d ANS Student Conference, April 8-10, pp. 1-3 (2021)<\/p>\n
Shriver, F., Lee, S., Hamilton, S., Vetter, J., Watson, J. K., \u201cEnhancing Monte Carlo Proxy Applications on GPSs,\u201d 2019 IEEE\/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), 2019, pp. 30-40, doi: 10.1109\/PMBS49563.2019.00009<\/p>\n","protected":false},"excerpt":{"rendered":"
Journal Publications Furlong, A., Watson, J. K., Shriver, F., \u201cInvestigation of Monte Carlo trained CNNs for neutronics predictions of typical and atypical PWR assemblies,\u201d Progress in Nuclear Energy, Vol. 166, 104961, November (2023) Smola, T., Watson, J. K., Hancock, S., Westover, T., Yeh, H., Umholtz, J., \u201cIntegrated Thermohydraulic Transient Testing of Steam Extraction Loop System […]<\/p>\n","protected":false},"author":456,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/page-sidebar-none.php","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-976","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/pages\/976","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/users\/456"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/comments?post=976"}],"version-history":[{"count":8,"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/pages\/976\/revisions"}],"predecessor-version":[{"id":1596,"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/pages\/976\/revisions\/1596"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/watson\/wp-json\/wp\/v2\/media?parent=976"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}