Machine Learning and Artificial Intelligence for Reactor Physics: II

Comparison of Various DNN Modelling Strategies for Assembly Node Averaged Multigroup Cross Section Representation for Nodal Codes

1:30–1:50PM PDT

Yi Meng Chan (KTH Royal Institute of Technology), Jan Dufek (KTH Royal Institute of Technology)

An Alternative Approach for Group Constants Regression Based on Supervised Learning Techniques

1:50–2:10PM PDT

Lorenzo Loi (Politecnico di Milano), Stefano Riva (Politecnico di Milano), Carolina Introini (Politecnico di Milano), Enrico Padovani (Politecnico di Milano), Francesca Giacobbo (Politecnico di Milano), Antonio Cammi (Politecnico di Milano)

Predicting PWR Fuel Assembly CIPS Susceptibility with Convolutional Neural Networks: Performance and Uncertainty Quantification

2:10–2:30PM PDT

Aidan Furlong (NCSU), Farah Alsafadi (NCSU), Scott Palmtag (NCSU), Andrew Godfrey (Veracity Nuclear), Stanley Hayes (Duke Power), Xu Wu (NCSU)

Monte Carlo with Single-Cycle Latency: Optimization of a Continuous Energy Cross Section Lookup Kernel for AI Accelerator Hardware

2:30–2:50PM PDT

John Tramm (ANL), Bryce Allen (ANL), Kazutomo Yoshii (ANL), Andrew Siegel (ANL)

Advancements in the Genetic-Driven Optimisation of the Few-Group Structures for Lead Fast Reactors Analysis

2:50–3:10PM PDT

A. Aimetta (Politecnico di Torino), N. Abrate (Politecnico di Torino), M. Massone (ENEA), S. Dulla (Politecnico di Torino)