Review—Two-Dimensional Boron Carbon Nitride: A Comprehensive Review
Bibliographic record
Abstract
Two-dimensional Boron Carbon Nitride (BCN) is a complex ternary system that has recently attracted great attention due to its ability to be tuned over a range of chemical, optical and electrical properties. In the last decade, BCN structures have been extensively researched for many energy-related applications, from supercapacitors and lithium ion batteries to electrocatalysts and sensors. However, the stoichiometry dependent properties of BCN as well as the difficult-to-control domain distribution of boron, carbon, and nitrogen atoms throughout the planes result in challenges for the fabrication of devices with reproducible performance. This review starts by discussing the fundamental properties of BCN as compared to its parent compounds (hexagonal boron nitride and graphene). Then the fabrication methods are comprehensively reviewed, analyzing each method’s advantages and shortcomings. This is followed by an explanation of BCN characteristics while particular attention is given to the surface chemistry and engineering of nanosheets. Applications of two dimensional BCN will also be reviewed to illustrate its significance over the last decade. Lastly, future trends and prospects of BCN structures will be reviewed, indicating on-going areas of research and the possible integration of BCN in semiconductor and energy-related applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".