Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation

Wenbin Xu, Karsten Reuter, Mie Andersen

Computational screening in heterogeneous catalysis relies increasingly on machine learning models for predicting key input parameters due to the high cost of computing these direct…