Artigo Acesso aberto Revisado por pares

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

ISSN

2058-9883

Autores

Thomas 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

Resumo

To 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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