What question did this study set out to answer?

The aim is to define AI-ready data properties to improve model construction in catalysis AI/ML.

August 12, 2026ACS Catalysis

Data as the Backbone of Artificial Intelligence: Insights from Heterogeneous Catalysis

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Perspective highlights the need for AI-ready data to improve catalysis research, suggesting a community approach for robust datasets.

The aim is to define AI-ready data properties to improve model construction in catalysis AI/ML.
Defined properties of AI-ready data.
Analyzed current practices in computational and experimental catalysis.
Highlighted community efforts for establishing large datasets.
Identified that existing catalysis data often lacks sufficient quality for AI applications.
Found that a community consensus is needed to standardize data collection and reporting.
Suggested that enhancing data readiness could significantly accelerate AI-driven catalysis advancements.

Shin et al. (2026) studied this question.

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