What is it about?
This paper addresses a major obstacle in scaling up green hydrogen production: our reliance on extremely rare iridium to split water into hydrogen and oxygen. To solve this shortage, scientists attach microscopic amounts of iridium onto cheaper supporting materials, but these complex structures end up inconsistent, some spots work extraordinarily well while others do very little. The authors highlight how traditional testing methods miss these differences by averaging total performance across the whole surface, and they showcase high-resolution scanning techniques to pinpoint the exact microscopic locations that perform best.
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Why is it important?
By mapping surface electrocatalysts spot-by-spot, researchers can learn how to design next-generation materials that maximize performance using the smallest possible amount of metals.
Perspectives
High-resolution SECCM mapping generates vast, spatially explicit datasets. It’s thrilling to think about pairing it with machine learning and electron microscopy. AI could predict which specific atomic coordinates yield peak performance, guiding labs straight to optimal catalysts without the usual trial-and-error. Beyond initial activity, these high-resolution techniques also let us watch individual microscopic sites degrade in real time. Pinpointing exactly where and why a catalyst fails at the nanoscale is going to be essential for building electrolyzers that can actually survive 10 to 20 years in industrial plants.
József Sándor Pap
HUN-REN Centre for Energy Research
Read the Original
This page is a summary of: Spatially resolved performance evaluation of next-generation electrocatalyst support assemblies for water electrolyzers, Journal of Materiomics, May 2026, Tsinghua University Press,
DOI: 10.1016/j.jmat.2026.101206.
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