123 citations · 294 across the 6 of their papers we have counts for
6 papers
Modeling Fission Gas Release at the Mesoscale using Multiscale DenseNet Regression with Attention Mechanism and Inception Blocks
Peter Toma, Md Ali Muntaha, Joel B. Harley +1
Mesoscale simulations of fission gas release (FGR) in nuclear fuel provide a powerful tool for understanding how microstructure evolution impacts FGR, but they are computationally…
Thermal Energy Transport in Oxide Nuclear Fuel
David H. Hurley, Anter El-Azab, Matthew S. Bryan +13
To efficiently capture the energy of the nuclear bond, advanced nuclear reactor concepts seek solid fuels that must withstand unprecedented temperature and radiation extremes. In t…
A Novel Physics-Regularized Interpretable Machine Learning Model for Grain Growth
Weishi Yan, Joseph Melville, Vishal Yadav +6
Experimental grain growth observations often deviate from grain growth simulations, revealing that the governing rules for grain boundary motion are not fully understood. A novel d…
The grain-size effect on thermal conductivity of uranium dioxide
K. Shrestha, T. Yao, J. Lian +4
We have investigated the grain boundary scattering effect on the thermal transport behavior of uranium dioxide (UO). The polycrystalline samples having different grain-sizes (0…
A Turing instability in the solid state: void lattices in irradiated metals
M. W. Noble, M. R. Tonks, S. P. Fitzgerald
Turing (or double-diffusive) instabilities describe pattern formation in reaction-diffusion systems, and were proposed in 1952 as a potential mechanism behind pattern formation in…
Rapid multiphase-field model development using a modular free energy based approach with automatic differentiation in MOOSE/MARMOT
Daniel Schwen, Larry K. Aagesen, John W. Peterson +1
We present a novel phase-field model development capability in the open source MOOSE finite element framework. This facility is based on the 'modular free energy' approach in which…