Thermal energy transport in oxide nuclear fuel

DH Hurley, A El-Azab, MS Bryan, MWD Cooper… - Chemical …, 2021 - ACS Publications
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 …

BISON: A flexible code for advanced simulation of the performance of multiple nuclear fuel forms

RL Williamson, JD Hales, SR Novascone… - Nuclear …, 2021 - Taylor & Francis
BISON is a nuclear fuel performance application built using the Multiphysics Object-Oriented
Simulation Environment (MOOSE) finite element library. One of its major goals is to have a …

Experimentally known properties of U-10Zr alloys: A critical review

DE Janney, SL Hayes - Nuclear Technology, 2018 - Taylor & Francis
Abstract More than 14 000 U-10Zr fuel rods (alloys of U with 10 wt% Zr) were irradiated in
the Experimental Breeder Reactor II and Fast Flux Test Facility, with some irradiated to …

Coupled multiphysics simulations of heat pipe microreactors using DireWolf

C Matthews, V Laboure, M DeHart, J Hansel… - Nuclear …, 2021 - Taylor & Francis
DireWolf is a multiphysics software driver application designed to simulate heat pipe–cooled
nuclear microreactors. Developed under the US Department of Energy, Office of Nuclear …

[HTML][HTML] SCIANTIX: a new open source multi-scale code for fission gas behaviour modelling designed for nuclear fuel performance codes

D Pizzocri, T Barani, L Luzzi - Journal of Nuclear Materials, 2020 - Elsevier
Bridging lower length-scale calculations with the engineering-scale simulations of fuel
performance codes requires the development of dedicated intermediate-scale codes. In this …

[HTML][HTML] The SCIANTIX code for fission gas behaviour: Status, upgrades, separate-effect validation, and future developments

G Zullo, D Pizzocri, L Luzzi - Journal of Nuclear Materials, 2023 - Elsevier
SCIANTIX is a 0D, open-source code designed to model inert gas behaviour within nuclear
fuel at the scale of the grain. The code predominantly employs mechanistic approaches …

Automatic differentiation in MetaPhysicL and its applications in MOOSE

A Lindsay, R Stogner, D Gaston, D Schwen… - Nuclear …, 2021 - Taylor & Francis
Efficient solution via Newton's method of nonlinear systems of equations requires an
accurate representation of the Jacobian, corresponding to the derivatives of the component …

Accelerating nuclear fuel development and qualification: Modeling and simulation integrated with separate-effects testing

KA Terrani, NA Capps, MJ Kerr, CA Back… - Journal of Nuclear …, 2020 - Elsevier
An approach to transform and accelerate nuclear fuel development and qualification is
outlined. The approach exploits advanced modeling and simulation at the outset to inform …

Density functional theory calculations of self-and Xe diffusion in U3Si2

DA Andersson, XY Liu, B Beeler… - Journal of Nuclear …, 2019 - Elsevier
Abstract Uranium silicide, U 3 Si 2, has been proposed as an advanced nuclear fuel to be
used in light water reactors (LWRs). Development of this alternative to the predominant …

Physics-guided machine learning from simulation data: An application in modeling lake and river systems

X Jia, Y **e, S Li, S Chen, J Zwart… - … Conference on Data …, 2021 - ieeexplore.ieee.org
This paper proposes a new physics-guided machine learning approach that incorporates
the scientific knowledge in physics-based models into machine learning models. Physics …