Aug 2026
Δ -Machine Learning for the Prediction of Metal Complex Properties.
An adaptation of the Δ-ML strategy for quantum property prediction of transition metal complexes is presented, which consistently achieves higher accuracy in the prediction of high-fidelity targets, while demonstrating improved data efficiency and out-of-domain transferability.
Hannes Kneiding, David Balcells
· Chemistry · 0 citations