Highly Efficient, Biochar‐Derived Molybdenum Carbide Hydrogen Evolution Electrocatalyst
Bibliographic record
Abstract
Abstract The establishment of an economic means of hydrogen production by electrochemical water‐splitting can help alleviate the intermittency problem associated with renewable energy sources such as solar and wind, and also provide for the extensive commercialization of fuel cell technologies. To enable this, cheap, active, and stable hydrogen evolution catalysts that can replace precious metal catalysts such as Pt must be developed. Herein, a scalable synthesis of porous Mo 2 C nanostructures derived from biochar, an inexpensive plant byproduct, is reported. The Mo 2 C catalyst materials prepared using this solid‐state method, loaded on planar substrates, require overpotentials of only 35 and 60 mV to drive current densities of −10 and −100 mA cm −2 in 0.50 m H 2 SO 4 solution and exhibit stable operation for >100 h at operating current densities of −10 and −100 mA cm −2 .
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".