September 28, 2022
Journal Article

Actinides in Complex Reactive Media: A Combined Ab Initio Molecular Dynamics and Machine Learning Analytics Study of Transuranic Ions in Molten Salts

Abstract

The predominant ionic chemistry and the similarity in ionic radius of actinides make it very difficult to structurally distinguish them in liquids. Here, while ab initio molecular dynamics shows that the f-states clearly affects the electronic properties, their impact on structural properties is not obvious. For the series of trivalent actinides U3+, Pu3+, Cm3+, Cf3+, Fm3+ in molten NaCl and FLiBe, actinide ligand bonds have a higher degree of covalency in NaCl (than in FLiBe), and a higher degree of ionicity in FLiBe. Furthermore, a machine learned classification model can distinguish atomic environments of chemically similar actinides, as long as atoms beyond the first solvation shells are considered. Our work shows that only two types of descriptors are necessary to account for all the fluctuations in heavy metal/molten salt mixtures: The first descriptor represents the electronic state of the heavy metal, while the second encompasses the local coordination environment.

Published: September 28, 2022

Citation

Nguyen M., B.A. Helfrecht, R.J. Rousseau, and V. Glezakou. 2022. Actinides in Complex Reactive Media: A Combined Ab Initio Molecular Dynamics and Machine Learning Analytics Study of Transuranic Ions in Molten Salts. Journal of Molecular Liquids 365. PNNL-SA-171071. doi:10.1016/j.molliq.2022.120115

Research topics