ReviewNature communications2026
Metal-metal interactions in catalysis from spatial separation to physical mixtures.
Review in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physical mixtures of segregated metals recently demonstrated enhanced activity in redox reactions by assigning specific elementary steps to distinct sites to close the catalytic cycle through efficient transfer of reaction intermediates across conductive or reductive supports. Here, we delineate the fundamental shift from single static alloy sites to dual static separated structures, and ultimately to a dual dynamic mode. We term this mechanism dynamic interfacial cooperative catalysis. While collisions between identical single-sites provide no catalytic enhancement, collisions between distinct metal phases actively drive the reaction by facilitating cross-site electron and intermediate transfers. This dynamic synergy offers a blueprint for non-alloyed designs in high-concentration environments and energy-storage systems, including redox flow batteries.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.