Solar-Driven Carbon Dioxide Capture Using a Photoelectrochemical Redox Flow System
Bibliographic record
Abstract
Carbon dioxide (CO 2 ) capture is essential for mitigating climate change, but scaling existing technologies to address global CO 2 emissions will place significant demands on energy systems. To overcome this challenge, we present a photoelectrochemical flow system using anthraquinone-2,7-disulfonate (AQDS) as a sorbent, which is activated by sunlight to capture CO 2 under dark conditions and releases it upon reillumination. This system successfully cycled for 70 h, demonstrating both stability and efficiency. Inspired by solar rechargeable redox flow batteries, the system expands on current solar-driven CO 2 capture technologies by enabling CO 2 release via photodesorption at 0 V vs OCV. While the system is still in its early stages, it presents a promising addition to the range of photo- and electrically driven CO 2 capture methods, with potential for future advancements toward more effective and scalable CO 2 capture solutions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".