Machine Learning for Neutron Transport
Python
Machine Learning
Computer Vision
Research
Artificial Intelligence
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 |