19 citations · 20 across the 5 of their papers we have counts for
6 papers
How assigned AI use before class shapes active student engagement in class
Dan J. Wang, Neelam Modi Jain, Vanessa Burbano +5
AI learning tools are rapidly entering classrooms, but evidence about whether they help students learn is mixed and rests mostly on test scores. Comparatively less research address…
Application of Reinforcement Learning for Multigroup Energy Grid Optimization for Neutron Transport Criticality Problems
Ben Whewell, Nathan Gibson, Ajeeta Khatiwada
The optimization of energy group structures is integral to ensure the accuracy of multigroup neutron transport calculations. This works introduces the use of reinforcement learning…
Collision-Based Hybrid Method for Two-Dimensional Neutron Transport Problems
Ben Whewell, Ryan G. McClarren
A collision-based hybrid method for the discrete ordinates approximation of the multigroup neutron transport equation is developed for two-dimensional time-dependent problems. At e…
Multigroup Neutron Transport using a Collision-Based Hybrid Method
Ben Whewell, Ryan G. McClarren, Cory D. Hauck +1
A collision-based hybrid algorithm for the discrete ordinates approximation of the neutron transport equation is extended to the multigroup setting. The algorithm uses discrete ene…
Data Reduction in Deterministic Neutron Transport Calculations Using Machine Learning
Ben Whewell, Ryan G. McClarren
Neutron cross section matrices for fission and scattering data are required for each material, temperature, and enrichment level to calculate the neutron transport equation accurat…
A low-rank power iteration scheme for neutron transport criticality problems
Jonas Kusch, Benjamin Whewell, Ryan McClarren +1
Computing effective eigenvalues for neutron transport often requires a fine numerical resolution. The main challenge of such computations is the high memory effort of classical sol…