Machine Learning for Neutron Transport

By

Alexander Mote

Python
Artificial Intelligence (AI)
Computer Vision
Research
Machine Learning (ML)

A research project conducted in collaboration with the PSAAP-III CEMeNT research team regarding optimization of neutron transport problems. Research focused on machine learning methods for improving program runtime and optimizing hardware allocation.

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Artifacts

Name Description
Year 2 Review Presentation A presentation given at the end of year 2 of the project. Focuses on development of a preliminary ML model for computation load prediction in domain-decomposed neutron transport problems.   Download
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