A machine learning scheme for the catalytic activity of alloys with intrinsic descriptors

Abstract

We develop a universal design scheme based on the machine learning method and the intrinsic properties of substrates and adsorbates, allowing accurate prediction and rapid screening through a large phase space of alloys and multiple adsorbates.

Identifiers

DOI

10.1039/d0ta06203k

Citations and references