Keywords
materials
Abstract
This review examines graph-informed discovery and multiscale imaging of durable multisite oxygen-reduction catalysts through a mechanism-to-decision framework. It asks which graph and visual representations preserve catalytic site interactions across synthesis conditions. Evidence is organized around representation, validation, uncertainty, and operational control, with no invented experiments or unreported quantitative results. Particular attention is given to apparent predictive accuracy masking site-level chemical mismatch. The synthesis shows that credible translation depends on explicit system boundaries, source-level traceability, failure-aware evaluation, and revalidation triggers. These principles provide a disciplined basis for fuel-cell catalyst discovery while keeping component promise distinct from system readiness.
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