fig5

Unveiling catalytic microenvironments: the convergence of conventional computations and machine learning paradigms

Figure 5. Interpretable machine learning for catalytic activity calculations. (A) Framework of the ensemble approach for the SISSO model. Reproduced from reference[73] under CC BY 4.0 License; (B) Local SHAP analysis of OH adsorption on Pt monolayer core-shell catalysts, revealing the contributions of key electronic factors to variations in adsorption strength. Adapted from reference[83] under the terms of the Creative Commons Attribution License; (C) Thermodynamic overpotential as a function of the adsorbed oxygen 2p-band center and Bader charge. Adapted from reference[84] under CC BY 4.0 License; (D) Fitted R0 values for predicting oxygen Bader charge vs. those for predicting the oxygen 2p-band center as a function of neighboring metal species. Adapted from reference[84] under CC BY 4.0 License. SISSO: Sure independence screening and sparsifying operator; SHAP: Shapley additive explanations.