Limestone Conversion to Cement Clinker Precursor in a Zero-Gap Electrolyzer
Bibliographic record
Abstract
The carbon intensity of industrial cement production could be reduced by replacing the high-temperature kilns used to decompose limestone (CaCO 3(s) ). One possible solution is to use electrochemical reactors to convert CaCO 3(s) into Ca(OH) 2(s) . The challenge is that most continuous-flow electrochemical reactors reported to date require voltages that are too high (>4 V at 100 mA cm –2 ) to be practical. A key reason for these high voltages is that the reactors contain a chemical chamber inserted between the anode and cathode chambers, which leads to a high Ohmic resistance. In this study, we present an electrolyzer that decomposes CaCO 3(s) into reactive Ca 2+ ions using only two chambers. This cell design, with an anode and cathode chamber separated by a membrane instead of a chemical chamber, follows a “zero-gap” configuration akin to hydrogen-producing electrolyzers and fuel cells. We also engage the reversible redox activity of (hydro)anthraquinones to mediate oxidation and reduction within a narrow electrochemical window. The streamlined “cement electrolyzer” is capable of operating at an initial full cell voltage of 0.38 V at 100 mA cm –2 with 100% proton efficiency.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".