Ni‐Based Catalysts for 5‐Hydroxymethylfurfural Electrooxidation Coupled with Hydrogen Production
Bibliographic record
Abstract
This review presents a comprehensive analysis of Ni‐based catalysts for the co‐electrolysis of H 2 O and 5‐hydroxymethylfurfural (HMF) under alkaline conditions, enabling the co‐production of low‐carbon hydrogen and 2,5‐furandicarboxylic acid (FDCA), a key biobased platform chemical. First, recent advances in elucidating the mechanism of HMF electrooxidation (HMFOR) to FDCA on Ni are examined. Next, an in‐depth evaluation of the HMFOR performance of various Ni‐based catalysts is provided, highlighting the effects of doping or combining Ni with transition metals such as Fe, Co, Cu, and Mn, as well as multimetallic compositions. Finally, HMFOR activity is compared across recent studies to identify key trends and propose research directions for scaling this technology to an industrial level.
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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 | 0.001 | 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".