A research database for experimental electrocatalysis: Advancing data sharing and reusability

R Ruchika Mahajan (SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,) A Ashton M. Aleman (SUNCAT Center for Interface Science and Catalysis) C Colin F. Crago (Department of Chemical Engineering, Stanford University, 443 Via Ortega, Stanford, California 94305, United States) S Suman Bhasker-Ranganath (SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,) M Melissa E. Kreider (SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,) J Jose A. Zamora Zeledon (SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,) J Johanna Schröder G Gaurav A. Kamat (Department of Chemical Engineering, Stanford University, 443 Via Ortega, Stanford, California 94305, United States) M McKenzie A. Hubert (SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,) A Adam C. Nielander (SUNCAT Center for Interface Science and Catalysis) T Thomas F. Jaramillo (SUNCAT Center for Interface Science and Catalysis) M Michaela Burke Stevens (SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, United States) J Johannes Voss (SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory 2 , Menlo Park, California 94025,) K Kirsten T. Winther (SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory 2 , Menlo Park, California 94025,)

Abstract

The availability of high-fidelity catalysis data is essential for training machine learning models to advance catalyst discovery. Furthermore, the sharing of data is crucial to ensure the comparability of scientific results. In electrocatalysis, where complex experimental conditions and measurement uncertainties pose unique challenges, structured data collection and sharing are critical to improving reproducibility and enabling robust model development. Addressing these challenges requires standardized approaches to data collection, metadata inclusion, and accessibility. To support this effort, we have developed an extensive data infrastructure that curates and organizes multimodal data from electrocatalysis experiments, making them openly available through the catalysis-hub.org platform. Our datasets, comprising 241 experimental entries, provide detailed information on reaction conditions, material properties, and performance metrics, ensuring transparency and interoperability. By structuring electrocatalysis data in web-based as well as machine-readable formats, we aim to bridge the gap between experimental and computational research, allowing for improved benchmarking and predictive modeling. This work highlights the importance of well-structured, accessible data in overcoming reproducibility challenges and advancing machine learning applications in catalysis. The framework we present lays the foundation for future data-driven research in electrocatalysis and offers a scalable model for other experimental disciplines.

Article Details

Volume / Issue Vol. 163, Issue 12
Published September 28, 2025
ISSN 0021-9606
Publisher American Institute of Physics

Journal Info

The Journal of Chemical Physics

American Institute of Physics

ISSN: 0021-9606 Physical Sciences

Authors (14)

R

Ruchika Mahajan

SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,

A

Ashton M. Aleman

SUNCAT Center for Interface Science and Catalysis

C

Colin F. Crago

Department of Chemical Engineering, Stanford University, 443 Via Ortega, Stanford, California 94305, United States

S

Suman Bhasker-Ranganath

SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,

M

Melissa E. Kreider

SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,

J

Jose A. Zamora Zeledon

SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,

J

Johanna Schröder

G

Gaurav A. Kamat

Department of Chemical Engineering, Stanford University, 443 Via Ortega, Stanford, California 94305, United States

M

McKenzie A. Hubert

SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University 1 , Stanford, California 94305,

A

Adam C. Nielander

SUNCAT Center for Interface Science and Catalysis

T

Thomas F. Jaramillo

SUNCAT Center for Interface Science and Catalysis

M

Michaela Burke Stevens

SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, United States

J

Johannes Voss

SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory 2 , Menlo Park, California 94025,

K

Kirsten T. Winther

SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory 2 , Menlo Park, California 94025,