Optimization of nuclear fuel assemblies if performed effectively, will lead to fuel efficiency
improvement, cost reduction, and safety assurance. However, assembly optimization involves …

To evaluate the effects of mild to moderate blast-related traumatic brain injury (TBI) on the
microstructure of brain white matter (WM) and neurobehavioral outcomes, we studied 37 …

In the last few years, deep learning in neural networks demonstrated impressive successes
in the areas of computer vision, speech and image recognition, text generation, and many …

For practical engineering optimization problems, the design space is typically narrow, given
all the real-world constraints. Reinforcement Learning (RL) has commonly been guided by …

The anomalies in the high voltage converter modulator (HVCM) remain a major down time
for the spallation neutron source facility, that delivers the most intense neutron beam in the …

This article describes real time series datasets collected from the high voltage converter
modulators (HVCM) of the Spallation Neutron Source facility. HVCMs are used to power the …

We combine advances in deep reinforcement learning (RL) with evolutionary computation
to perform large-scale optimisation of boiling water reactor (BWR) bundles using CASMO4/…

A framework for model evaluation and uncertainty quantification (UQ) is presented with
applications oriented to nuclear engineering simulation codes. Our framework is inspired by the …

To improve the marketability of novel microreactor designs, there is a need for automated
and optimal control of these reactors. This paper presents a methodology for performing …

Explosive blast is a frequent cause of traumatic brain injury (TBI) among personnel deployed
to Afghanistan and Iraq. Functional magnetic resonance imaging (fMRI) with an event-…