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Data · dataset · 2026

Multiscale Regulation of Interfacial Microenvironments for High-Efficiency Electrochemical CO<sub>2</sub> Reduction to C<sub>2+</sub> Products: A Review and Perspective

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1021/acs.energyfuels.6c03204.s001

Description

Electrochemical reduction of CO<sub>2</sub> to high-value C<sub>2+</sub> products represents a promising route for achieving a sustainable carbon cycle, yet its practical application is hindered by intrinsic challenges in catalyst design, reaction pathways, and carbonate precipitation, which affect the efficiency, selectivity, safety, and lifespan of electrolyzers. This review systematically reorganizes the CO<sub>2</sub>-to-C<sub>2+</sub> electrocatalysis literature around an explicit four-dimension × four-scale matrix (4D × 4S), where the four dimensions are materials engineering (I), confinement/tandem (II), microenvironment/interface regulation (III), and reactor/operation (IV), and the four scales are electronic structure, atomic-to-molecular reaction network, mesoscopic transport, and device-reactor performance.

This review draws on representative experimental and computational studies in CO<sub>2</sub>-to-C<sub>2</sub><sup>+</sup> electrocatalysis rather than attempting an exhaustive catalog. We have the following main conclusions: (i) atomic-site design shall cooptimize with mesoscale confinement and microenvironment to achieve higher selectivity at industrial current densities; (ii) membrane-electrode-assembly lifetime, not peak performance, is the central bottleneck for C<sub>2+</sub> commercialization, with salt precipitation and cation crossover as the dominant failure modes<sup>2</sup>; (iii) several material classes (atomically defined paired sites, conductive MOFs/COFs, etc.) can maintain high Faraday efficiency of their respective specific C<sub>2+</sub> products at industrial current densities, but each faces a characteristic trade-off (e.g., lifetime vs. selectivity) that no single optimization strategy can resolve; (iv) Cross-scale theoretical–experimental closure, enabled by operando spectroscopy, machine-learning surrogates, and physics-informed neural networks, is the most promising direction for accelerating the field.

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The 4D × 4S matrix provides a reusable scaffold for designing and evaluating the next generation of C<sub>2+</sub> electrocatalysts and electrolyzers, with standardized operando datasets and community-accepted validation protocols as the immediate priorities. We expect that CO<sub>2</sub>-to-CO will be the realistic first commercial target, with C<sub>2+</sub> products as a longer-term goal contingent on substantial catalyst and membrane innovation.

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Provenance · 3 source records, 23 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3403669112 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3403669112 d agoJSON v1
DMU Figshareoai:figshare.com:article/3403669112 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:life-sciencesmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
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