Formic Acid Pursues Efficient Hydrodeoxygenation of Naphthols and Phenolic Derivatives to Arenes
Bibliographic record
Abstract
The use of high-pressure hydrogen poses significant challenges, including safety risks, storage problems, and elevated costs. Consequently, developing reductive chemical processes utilizing low-pressure hydrogen is highly appealing for industrial-scale applications. This emphasizes the critical need for sustainable alternatives that offer safer and more accessible reaction conditions. Liquid organic hydrogen carriers (LOHCs) are appealing materials due to their capability to generate hydrogen in situ, which can be directly utilized to produce target biofuel precursors, fuels, or fuel additives. Hydrodeoxygenation (HDO) is an efficient approach for transforming lignin and its phenolic derivatives into valuable aromatic chemicals and fuels. Herein, we present an alternative HDO of naphthols and phenols using a commercial heterogeneous catalyst, Pd/C, employing formic acid as LOHC. This paper presents a consistent substrate scope for the HDO of different naphthols and phenols, including pharmaceutically relevant molecules such as amylmetacresol and menthol.
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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 | 0.000 |
| 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) | 0.000 | 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".