Ni@Ni<sub>2</sub>P Encapsulation in Interconnected N-Doped Carbonized Cellulose Nanofibril Network for Efficient Oxygen Evolution Reaction
Bibliographic record
Abstract
Production of cost-efficient and robust electrocatalysts toward oxygen evaluation reaction (OER) is a challenging work. In this work, cellulose nanofibrils (CNF) obtained from natural plant fiber with distinctive three-dimensional networks are used as structural skeletons and conductive substrates for electrocatalytic materials. One-step pyrolysis of aerogel composed of CNF and nickel salt yields Ni@Ni2P nanoparticles encapsulated in nitrogen-doped interconnected carbonized CNF and carbon nanotubes (denoted as Ni@Ni2P/N-CNF-CN). Benefiting from the desirable characteristics conferred by the carbon substrates, such as large specific surface area, multitudinous mesopores, and favorable conductivity, the hybrid catalyst exhibits excellent catalytic performance toward OER with a low overpotential of 269 mV to reach a current density of 10 mA cm–2 and a low Tafel slope of 65.0 mV dec–1 in 1 M KOH solution. Furthermore, the as-prepared catalyst also reveals favorable stability with 1.7% decay after 20 h long-term chronopotentiometry testing. The approach to convert inexpensive and renewable biopolymers into high value-added carbon based electrocatalytic materials described in the present work provides novel, green, and broader opportunities for the utilization of biomass materials.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".