Searching for an Optimal Multi‐Metallic Alloy Catalyst by Active Learning Combined with Experiments (Adv. Mater. 19/2022)

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.