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Table · dataset · 2026

Unveiling the Prediction of Lanthanide Binding Selectivity: Could 4f Electrons be Treated as the Core–Shell?

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There has been a recent resurgence of interest in the lanthanide separation chemistry.

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With the advent of artificial intelligence, the high-throughput computation provides a powerful alternative to experimental screening of extractants. However, the reliable treatment of 4f electrons remains a major bottleneck due to their highly localized and strongly correlated nature.

In this work, we systematically benchmark two prominent computational strategies including 4f-in-valence and 4f-in-core for calculating lanthanide binding selectivity. Within the 4f-in-valence framework, density functional theory (DFT) calculations yield irregular energetic trends across the lanthanide series. Multi-configurational and multi-reference methods can replicate the experimental selectivity trends, but they demand careful selection of the active space and the treatment of dynamic correlation, posing considerable computational difficulties.

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In contrast, the 4f-in-core approach, which excludes the chemically inert 4f orbitals from the valence space via 4f-in-core pseudopotentials (PPs), offers substantial improvements in computational efficiency. More importantly, the present results demonstrate that this scheme reliably reproduces key energetic trends, validating its applicability in non-redox lanthanide separation scenarios. This work establishes an efficient pathway by using 4f-in-core PPs for high-throughput computational screening of selective extractants.

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figshareoai:figshare.com:article/3371384410 d agoJSON v1
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