Bicarbonate‐Stabilized Cu <sub>2</sub> O/Cu Heterointerfaces Enable Efficient Ethylene Electrosynthesis From Carbon Capture Solutions
Bibliographic record
Abstract
Abstract The direct electrochemical conversion of carbon capture solutions into multi‐carbon (C 2+ ) products offers a sustainable alternative to decarbonize chemical manufacturing, bypassing energy‐intensive CO 2 regeneration and purification steps in conventional CO 2 conversion technologies. However, it faces persistent challenges in selectivity and operational stability. Here, this study demonstrates that bicarbonate, an inherent component of carbon capture media, stabilizes Cu 2 O/Cu heterointerfaces in laminate oxide‐derived Cu (LOD‐Cu) catalysts, enabling long‐term ethylene (C 2 H 4 ) production. In a zero‐gap membrane electrode assembly (MEA) electrolyzer, bicarbonate electrolytes support a C 2 H 4 Faradaic efficiency of ≈54% at 200 mA cm −2 over 80 h of continuous operation. In situ spectroscopic analysis reveals that bicarbonate mitigates the full reduction of Cu 2 O, preserving interfacial motifs that are critical for C─C coupling. This work uncovers bicarbonate's role in stabilizing Cu 2 O/Cu heterointerfaces, thereby preserving catalytically active motifs and enabling efficient, durable C 2 H 4 production. It provides a practical strategy for integrating carbon capture with renewable C 2 H 4 chemical synthesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".