Demonstrates ligand optimization for americium/europium discrimination, suggesting new computational methods for challenging extraction tasks.
coordination preference relative to literature-reported references. This work demonstrates that coordination-chemistry-informed machine learning enables systematic exploration of ligand chemical space under data-scarce conditions and provides a practical computational screening route for candidate extractants targeting challenging An/Ln discrimination problems.
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Yang et al. (2026) studied this question.
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