Using a High-Throughput Screening Algorithm and relativistic Density Functional Theory to Find Chelating Agents for Separation of Radioactive Waste
Ashley Gannon, Stephanie Marxsen, Kevin Mueller, Bryan D. Quaife, Jose, L. Mendoza-Cortes

TL;DR
This study combines high-throughput screening and relativistic DFT to design novel chelating agents for separating actinides in radioactive waste, demonstrating a faster discovery process and tunable selectivity.
Contribution
It introduces an integrated computational approach to rapidly design and optimize chelating agents with enhanced selectivity for actinide separation.
Findings
Identified linkers that improve complex stability and selectivity.
Demonstrated the effectiveness of combining high-throughput algorithms with relativistic DFT.
Showed that secondary coordination sphere modifications influence actinide binding.
Abstract
Dangerous radioactive waste leftover from the Cold War era nuclear weapons production continues to contaminate sixteen sites around the United States. Although many challenges and obstacles exist in decontaminating these sites, two particularly difficult tasks associated with cleanup of this waste are extracting and separating actinide elements from the remainder of the solution, containing other actinide elements and non actinide elements. Developing effective methods for performing these separations is possible by designing new chelating agents that form stable complexes with actinide elements, and by investigating the interactions between the chelating agents and the actinide elements. In this work, new chelating agents (or ligands) with potential to facilitate the separation of radioactive waste are designed for Th, Pa, and U using relativistic Density Functional Theory (DFT)…
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Taxonomy
TopicsRadioactive element chemistry and processing · Radioactive contamination and transfer · Nuclear Materials and Properties
