journal article·2026-06-18

Design of Experiments Guided Identification of Coupled Component Interactions in Cu Gas Diffusion Electrodes for Electrochemical CO 2 Reduction to Multi‐Carbon Products

Jinyoung Lee, Dongrak Oh, Daniel Curulla‐Ferré, Joel Mihály Jenny, Byeong‐Jin Jeon, Miyeon Chang, Sang‐Won Lee, Tae Hyung Lee, Jaehyuk Shim, Yi Xu, Samantha Reising, Katherine Yan, Je Min Yu, Seon Woo Hwang, Jungwon Park, Kyeong‐Min Jeong, Ji‐Wook Jang, Dong Un Lee, Thomas F. Jaramillo

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Abstract

ABSTRACT A Design of Experiments (DoE) approach is used in the design and development of gas diffusion electrodes (GDEs) for electrochemical CO 2 reduction (CO 2 R). Rational GDE design remains challenging due to the presence of multiple components and their complex effects on performance. Here, five electrode components, Cu, carbon, polytetrafluoroethylene, Nafion, and Sustainion, are evaluated for electrochemical CO 2 R using the DoE approach by evaluating 17 distinct single‐active‐layer (SAL)‐GDEs. Experimental results are analyzed using a definitive screen design (DSD) framework to identify component‐performance relationships, including first‐ and second‐order effects. Nafion is found to strongly affect overall product distribution, while carbon is most influential for improving C 2 H 4 selectivity. The DSD models are validated with experiments, enabling formulation predictions beyond the original design space. Following model predictions, increasing carbon loading was experimentally shown to improve C 2 H 4 selectivity, achieving a peak faradaic efficiency of 36.1%. The improvement is rationalized by structural characterization, which reveals that increased carbon loading leads to electrode porosity and Cu dispersion favorable for CO 2 transport and interfacial surface area. This work demonstrates the strength of statistical methods for rationally designing complex, multi‐component GDE architectures and understanding interacting component effects, highlighting potential impact across a wide range of electrochemical conversion systems.
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Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Carbon Dioxide Capture Technologies · Electrocatalysts for Energy Conversion

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan Republic of Korea

SUNCAT Center for Interface Science and Catalysis Department of Chemical Engineering Stanford University Stanford California USA

SUNCAT Center for Interface Science and Catalysis SLAC National Accelerator Laboratory Menlo Park California USA

Downstream Processes and Polymers, Numerical platform TotalEnergies OneTech Belgium Seneffe Belgium

Laboratory of Inorganic Synthesis and Catalysis Institute of Chemical Sciences and Engineering Ecole Polytechnique Fédérale Lausanne (EPFL) Lausanne Switzerland

School of Chemical and Biological Engineering Institute of Chemical Processes Seoul National University Seoul Republic of Korea

Graduate School of Carbon Neutrality Ulsan National Institute of Science and Technology (UNIST) Ulsan Republic of Korea

Emergent Hydrogen Technology R&D Center Ulsan National Institute of Science and Technology (UNIST) Ulsan Republic of Korea

Funding

National Research Foundation of Korea · National Science Foundation Graduate Research Fellowship Program

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