Artificial Intelligence‐Assisted Experimental Optimization of Water Oxidation Catalysts

Chemie Ingenieur Technik, vol. 97, pp. 472–478

Abstract

Abstract Artificial intelligence (AI) methods are very often used to make predictions for datasets that were created externally in arbitrary experiments or on already literature known datasets. In this work, we try to make use of active learning techniques to search for an optimal strategy for the startup‐phase of bulk nickel electrodes in the oxygen evolution reaction. The data collected was afterwards reduced in dimensions and used to extract additional information that were learned via an artificial neural network (ANN) on the dataset, respectively.

Authors 5

1. Henrik Spitzenpfeil Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Heterogeneous Catalysis and Chemical Technology Worringerweg 2 52074 Aachen Germany

   RWTH Aachen University, Heterogeneous Catalysis and Chemical Technology, Worringerweg 2, 52074 Aachen, Germany

2. Marius Neumann Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Heterogeneous Catalysis and Chemical Technology Worringerweg 2 52074 Aachen Germany

   RWTH Aachen University, Heterogeneous Catalysis and Chemical Technology, Worringerweg 2, 52074 Aachen, Germany

3. Nick Hausen Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Heterogeneous Catalysis and Chemical Technology Worringerweg 2 52074 Aachen Germany

   RWTH Aachen University, Heterogeneous Catalysis and Chemical Technology, Worringerweg 2, 52074 Aachen, Germany

4. Regina Palkovits Aachen

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Forschungszentrum Jülich GmbH Institut für nachhaltige Wasserstoffwirtschaft 2 Marie‐Curie Straße 5 52428 Jülich Germany

   RWTH Aachen University Heterogeneous Catalysis and Chemical Technology Worringerweg 2 52074 Aachen Germany

   RWTH Aachen University, Heterogeneous Catalysis and Chemical Technology, Worringerweg 2, 52074 Aachen, Germany

5. Stefan Palkovits corresponding Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University Heterogeneous Catalysis and Chemical Technology Worringerweg 2 52074 Aachen Germany

   RWTH Aachen University, Heterogeneous Catalysis and Chemical Technology, Worringerweg 2, 52074 Aachen, Germany