A self-optimised approach to synthesising DEHiBA for advanced nuclear reprocessing, exploiting the power of machine-learning
2023; Royal Society of Chemistry; Volume: 9; Issue: 2 Linguagem: Inglês
10.1039/d3re00357d
ISSN2058-9883
AutoresThomas Shaw, Adam D. Clayton, Ricardo Labes, Thomas M. Dixon, Sarah L. Boyall, Oliver J. Kershaw, Richard A. Bourne, Bruce C. Hanson,
Tópico(s)Extraction and Separation Processes
ResumoTo aid the advancement of hydrometallurgical reprocessing of used nuclear fuel, this work has explored and optimised the synthesis of DEHiBA in continuous flow, to establish a scalable, cost-effective manufacture route.
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