Adsorbate chemical environment-based machine learning framework for heterogeneous catalysis

Abstract

A combination of electronic structure calculations and machine learning strategies is developed to predict structures of complex heterogeneous catalysts in realistic environments, yielding new opportunities for optimization for energy applications.