Dataset - Accelerating Combinatorial Electrocatalyst Discovery with Bayesian Optimization: A Case Study in the Quaternary System Ni-Pd-Pt-Ru for the Oxygen Evolution Reaction

This dataset contains the compositional and electrochemical characterization data used in the study on Bayesian optimization for high-throughput electrocatalyst discovery in the quaternary Ni-Pd-Pt-Ru system. The dataset includes:

Composition maps of all 12 materials libraries, acquired by energy-dispersive X-ray spectroscopy

Linear sweep voltammograms (LSVs) for all compositions of the materials libraries for the oxygen evolution reaction, acquired by alkaline scanning droplet cell measurements 

Activity maps of all materials libraries extracted by taking the current density at a potential of 1.7 V vs. the reversible hydrogen electrode

LSVs and activities of thin films of the single elements Ni, Pd, Pt, Ru

3D rotating animations of the quaternary composition space plots shown in the publication

All data is provided in .csv format.