Improvement of Liquid Hydrocarbon Yield in CO<sub>2</sub> Fischer–Tropsch Synthesis over Potassium-added Iron Carbide Catalyst
Bibliographic record
Abstract
フィッシャー · トロプシュ合成（Fischer–Tropsch synthesis; FTS）を経由したCO2水素化反応（CO2-FTS）による液体炭化水素（C5＋）の効率的な合成を目指し，炭化鉄触媒（FeCx）へのカリウム添加効果を調べた。シュウ酸鉄二水和物に硝酸カリウムを加えCOガス流通下で熱分解することで，カリウム含有量の異なる炭化鉄触媒（K–FeCx）を調製した。K(z)–FeCx触媒（K/Fe＝z/100，z＝0, 1, 5, 10: モル比)上でのCO2-FTS試験によって得られたC5＋,others収率とCH4収率を比較した。K(1)–FeCx触媒を用いた場合は比較した触媒の中で最も高いC5＋,others収率が得られた。さらに，K(1)–FeCx触媒はカリウムを含まない触媒に比べて副生するCH4の収率が低くなった。K(1)–FeCx触媒はFTS反応の活性点であるχ-Fe5C2相を最も多く含んでいるとともに，過剰にカリウムを加えた触媒と比べてカリウム自身によるFTS活性点の被覆が少ないため，液体炭化水素収率が向上したと考えた。
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".