2D-3D electron transfer functions and stability of sustainable graphitic biocarbon for bipolar plate application
Bibliographic record
Abstract
Biocarbon being a highly demanding renewable source of carbon is important for many applications such as soil enrichment, electronic applications, etc. In this research, sustainable waste biomass-to-energy materials conversion, kinetic, thermodynamic and electronic properties of carbonized forest biomaterials were investigated to evaluate their high-potential in bipolar plate for fuel cell application. In thermogravimetric analysis, the lignin biocarbon showed the least activation energy of 95 KJ/mol compared to 127 and 145 KJ/mol for hardwood and softwood biocarbons respectively. The crystallographic nature of carbonized ligneous and cellulosic biomaterials was also investigated, showing its intrinsic properties and exotic functionality through semi-metallic properties determined from density function theory, transmission electron microscopy and UV–Vis absorption. Finally, the electrochemical properties of bio-carbon composites were examined to prove stability and corrosion resistance comparable to metallic plates. Biocarbon composites showed high polarization resistance up to 5.96 kΩ-cm 2 with non-reactive properties, favorable to use in bipolar plates as an alternative to metallic plate which is expensive and prone to corrosion. Overall, sustainable biocarbon shows its ability as a high-performance functional material alternative to expensive nanofillers as well as to enhance the attributes of the bipolar plate composite by increasing connectivity between primary filler and insulating resin.
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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".