Accelerating Electrocatalyst Testing with Scanning Flow Cell Setups
Serhiy Cherevko a, Joanna Przybysz a
a Helmholtz-Institute Erlangen-Nuremberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Cauerstr. 1, 91058, Erlangen, Germany
Proceedings of MATSUS Spring 2026 Conference (MATSUSSpring26)
I4 Digital Discovery: From Energy Materials to Devices
Barcelona, Spain, 2026 March 23rd - 27th
Organizers: Shoichi Matsuda and Magda Titirici
Oral, Serhiy Cherevko, presentation 599
Publication date: 15th December 2025

In modern electrocatalysis research, initial screening of catalyst performance is typically carried out in batch electrochemical cells such as rotating disk electrode (RDE) half-cells [1]. Although these setups are efficient and economical compared to full device testing, they are not suited for the rapid evaluation of large material libraries containing hundreds or thousands of samples. To overcome this limitation, various scanning electrochemical cells have been developed. When combined with high-throughput synthesis, characterization, quality control, data acquisition, and automated analysis, these platforms form the basis of autonomous electrocatalysis workflows and ultimately self-driving laboratories. One example is the scanning flow cell (SFC), where continuous electrolyte flow allows direct coupling to external analytical techniques such as inductively coupled plasma mass spectrometry (ICP-MS).

This talk will introduce the setups and present representative examples of how SFC-based systems can accelerate the evaluation of electrocatalysts across multiple stages of development. One example includes a grid-based search using an SFC coupled to ICP-MS to screen a NiFeCo material library for highly active and stable oxygen evolution reaction (OER) catalysts in neutral media [2]. Faster, more accessible workflows can also be achieved by employing purely electrochemical approaches, along with stability proxies and active learning algorithms [3]. At a more advanced stage, SFC configurations capable of testing gas diffusion electrodes (GDEs) allow catalyst layer screening under conditions approaching those in real devices [4].

Overall, this presentation highlights recent progress in high-throughput electrocatalyst testing, demonstrating how automated SFC-based approaches can significantly accelerate discovery and mechanistic insight [5]. Looking ahead, continued development in automation, data-driven decision making, and integration with advanced synthesis and characterization platforms is poised to enable fully autonomous electrocatalysis laboratories that shorten development cycles and expand the search space for next-generation catalyst materials.

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