Interpretable machine learning for knowledge generation in heterogeneous catalysis
Published in Nature Catalysis (2022)
TL
TL;DR
The various interpretable machine learning methods available to catalysis researchers are discussed, the potential of interpretablemachine learning to accelerate hypothesis formation and knowledge generation is highlighted, and critical challenges and opportunities for interpretableMachine learning in heterogeneous catalysis are outlined.