Searching for an Optimal Multi‐Metallic Alloy Catalyst by Active Learning Combined with Experiments (Adv. Mater. 19/2022)
Minki Kim, Min Young Ha, Woo‐Bin Jung, Jeesoo Yoon, Euichul Shin, Il‐doo Kim, Won Bo Lee, YongJoo Kim, Hee-Tae Jung
Abstract
Hydrogen Evolution Reaction In article number 2108900, Won Bo Lee, YongJoo Kim, Hee-tae Jung, and co-workers report a methodology to efficiently search for optimal multi-metallic alloy catalysts by combination of experiment and active learning. By this approach, it is possible to find a specific optimal component and composition of catalyst for the hydrogen evolution reaction in the studied system. This method can be applied to any kind of reaction regardless of its own catalytic background.
Topics & Concepts
Materials scienceCatalysisAlloyMetalHydrogenComponent (thermodynamics)Chemical engineeringMetallurgyThermodynamicsOrganic chemistryChemistryPhysicsEngineeringMachine Learning in Materials Science