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Current Research Projects

Separated waste stream immobilization of iodine and offgas caustic scrubber solution
This project aims to produce a set of waste forms from separation of iodine from the caustic offgas scrubber solution. The primary caustic scrub containing iodine, halides, and carbonate will be immobilized in a glass-bonded composite of cancrinite/sodalite. The iodine-loaded silver sorbent will be stripped of iodine, converted to NaI, and immobilized into a separate durable glass-bonded iodosodalite waste form. (Partners: Rutgers, PNNL, ANSTO; Funding DOE-NEUP)

Supply Chain Data Science – Critical Materials Decision Support System Based on Machine Learning: Battery Materials Case Study
This seed project aims to begin construction of a high-level data analysis and decision support tool for understanding supply chain issues with critical materials. To achieve this objective, data will be harvested from a wide range of literature resources from government, private, and scientific communities, organized in a useful fashion, and advanced decision-making methods (including data science, machine learning, and decision support systems) will be applied. (Partners: Microsoft; Funding JCDREAM)

Simulated Used Nuclear Fuel Dissolution as a Function of Fuel Chemistry and Near Field Conditions
This project will develop a fundamental and transformative understanding of the various effects of simulated used nuclear fuel (UNF) microstructure on its dissolution in geologic repository conditions, through an integrated research program. This understanding will underpin the maturation of models for UNF evolution and interaction under different potential repository conditions, enabling reliable prediction of degradation and adjustment of repository conditions to achieve desired long-term performance, and providing increased confidence in predicting behavior for up to one million years. (Partners: PNNL, University of Sheffield; Funding DOE-NEUP)
Related Publications

Synthesis of UO2 pellets

Studies and Analyses of Compositional Dependence of Glass Corrosion Associated with Nepheline Formation
We will systematically explore nepheline crystallization and chemical durability with simplified glass systems, starting with various Na2O-SiO2-A
l2O3 compositions, then building complexity  to add several other important components, such as CaO, B2O3, Li2O, and Fe2O3.  By this tiered approach we will build on the understanding of the effects of the different components on the susceptibility to nepheline formation in complex nuclear waste glasses for immobilization of Hanford wastes. Data-driven, machine-learning models will be created to predict the formation of nepheline as a function of glass composition and thermal treatment. The interpretation of these models will provide quantitative insight to the forces driving nepheline crystallization in high-level waste glasses. (Partners:  PNNL, Rutgers; Funding: DOE-ORP)
Related Publications

Representation of nepheline structure viewed down [001]

Formation and Alteration of Old Glass
This project focuses on studying and analyzing natural and anthropomorphic analogue glasses of great age for the purposes of testing glass alteration models needed to predict long term performance of nuclear waste glass after disposal.  One focus is on glasses from the Swedish hillfort Broborg, and includes rock melting experiments, characterization, and glass synthesis, with the goals of providing sufficient understanding of the ancient process that suitable synthetic glasses can be made in the laboratory for alteration testing.  Additionally, we are exploring natural geologic glass and other archaeological glasses to see if any other readily available and relevant materials might be available and appropriate for study.  (Partners:  PNNL, Sheffield, Tekedo, Smithsonian; Funding: DOE-ORP)

Related Publications