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Nuclear Science

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Nuclear Science

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Research Frontiers in Nuclear Criticality Safety Analysis Methods

Development of improved computational tools and experimental validation for predicting critical configurations in fissile material storage and processing.

Machine Learning Surrogates for Real-Time Criticality Prediction

Neutronic Uncertainty Quantification in Heterogeneous Fuel Geometries

Subcritical Multiplication Monitoring via Prompt Neutron Decay

Burnup-Dependent Reactivity Feedback in Advanced Fuel Forms

Three-Dimensional Void Fraction Effects on Neutron Multiplication

Transient Criticality in Modular and Distributed Nuclear Systems

Cross-Section Bias Correction Using Experimental Spectral Data

Coupled Thermal-Neutronic Stability in Dense Assemblies

Physics-Informed Neural Networks for Criticality Calculations

Spatial Self-Shielding in Complex Lattice Configurations

All Nuclear Science PhD categories