Machine-Learning-Guided Ligand Optimization for Americium/Europium Coordination Discrimination

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.