A reliable ML-based prediction of λ could fill exactly this gap -providing significant speed-ups for the assessment of thousands of molecules while potentially allowing for the extraction of robust chemical rules by explainable AI. ML-based approaches were indeed recently successful for the prediction of λ for rigid molecules, while flexible molecules still pose a significant challenge, likely because λ simultaneously depends on two potential energy surfaces (see Fig. ).