Phenomenological Descriptor-Based Characterization of Carbon Alloy ORR Catalysts

The development of carbon alloy ORR catalysts requires practical methods for their characterization and comparison. In this study, two carbon alloy ORR catalysts (CA and CA-Fe), together with a Pt/C reference, were characterized using rotating ring–disk electrode (RRDE) measurements over a range of catalyst loadings. The conventional RRDE metrics, the half-wave potential ( E 1/2 ) and hydrogen peroxide yield ( f H2O2 ), exhibit different loading dependences. As a result, direct comparison of catalyst characteristics becomes difficult. To address this limitation, we developed a descriptor-based characterization framework. It employs two phenomenological descriptors, k f2 and k s2 . They were derived from RRDE linear-sweep voltammetry within a simplified reaction–diffusion framework. The descriptor k f2 represents the overall tendency of H 2 O 2 formation. The second descriptor, k s2 , represents the overall disappearance of H 2 O 2 within the catalyst layer as reflected in the RRDE response. Both descriptors showed only small variations with catalyst loading and electrode rotation rate under the present experimental conditions. As a proof of concept, CA, CA-Fe, and Pt/C were mapped onto this descriptor space. Each catalyst occupied a distinct position. These results demonstrate that the framework provides a common basis for characterizing and comparing the catalyst systems examined in this study.

Authors

Institutions

Publication Details

Journal
Carbon Trends
Published
2026-09-01
DOI
https://doi.org/10.1016/j.cartre.2026.100689
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phenomenological Descriptor-Based Characterization of Carbon Alloy ORR Catalysts

Jun‐ichi Ozaki, Takuya Maie, Yasuo Imashiro, Yuji Kubota et al.
Carbon Trends
Electrocatalysts for Energy Conversion
article

Phenomenological Descriptor-Based Characterization of Carbon Alloy ORR Catalysts

Jun‐ichi Ozaki, Takuya Maie, Yasuo Imashiro, Yuji Kubota, Rieko Kobayashi, Seiya Noro
article en

Abstract

The development of carbon alloy ORR catalysts requires practical methods for their characterization and comparison. In this study, two carbon alloy ORR catalysts (CA and CA-Fe), together with a Pt/C reference, were characterized using rotating ring–disk electrode (RRDE) measurements over a range of catalyst loadings. The conventional RRDE metrics, the half-wave potential ( E 1/2 ) and hydrogen peroxide yield ( f H2O2 ), exhibit different loading dependences. As a result, direct comparison of catalyst characteristics becomes difficult. To address this limitation, we developed a descriptor-based characterization framework. It employs two phenomenological descriptors, k f2 and k s2 . They were derived from RRDE linear-sweep voltammetry within a simplified reaction–diffusion framework. The descriptor k f2 represents the overall tendency of H 2 O 2 formation. The second descriptor, k s2 , represents the overall disappearance of H 2 O 2 within the catalyst layer as reflected in the RRDE response. Both descriptors showed only small variations with catalyst loading and electrode rotation rate under the present experimental conditions. As a proof of concept, CA, CA-Fe, and Pt/C were mapped onto this descriptor space. Each catalyst occupied a distinct position. These results demonstrate that the framework provides a common basis for characterizing and comparing the catalyst systems examined in this study.

Carbon Trends
Gunma University (JP), Nisshinbo Holdings (Japan) (JP)
Openalex Percentile: Top 28%
Electrocatalysts for Energy Conversion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.