Papers

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Physics-Informed Deep Learning Neural Network Solution to the Neutron Diffusion Model

Mohamed H. Elhareef (Virginia Commonwealth Univ.), Zeyun Wu (Virginia Commonwealth Univ.), Yu Ma (Sun Yat-sen Univ.)

Improving Whole-Core Calculations by Bayesian Inference From Single-Assembly Measured Reactivity Weights

P.-L. Alzieu (CEA), G. Truchet (CEA), J. Tommasi (CEA)

Investigation Into the Use of Machine Learning Assisted Prediction of Nodal Parameters for Reduced Order Neutronic Simulation Models

Madhumitha Ravichandran (MIT), Cole A. Gentry (ORNL), Matteo Bucci (MIT)

Improved Rational Approximation for Spatially-Dependent Resonance Self-Shielding in CASMO5

Rodolfo Ferrer (Studsvik Scandpower), Joshua Hykes (Studsvik Scandpower)


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