PNNL

Machine Learning Provides Chemistry of Uranium Insight for Advanced Reactors

PNNL researchers use chemometric analysis to model chemistry in molten salt.

Modeling the Movement of Impurities in Molten Uranium

A team of scientists at PNNL developed new computational models to predict the behavior of these impurities and reduce the expense and risk related to actinide metal production.

Computational studies of impurity migration during induction stirring of molten uranium

Thermodynamic Investigation of the NaCl-KCl Salt System from 25 to 950oC

Phosphate-Based Approaches for Dechlorination and Treatment of Salt Waste from Electrochemical Processing of Used Nuclear Fuel: A Perspective on Recent Work