Quantitative and qualitative analysis of nitrogen species in carbon at the ppm level
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Advanced carbon materials used for energy-related applications often contain nitrogen as a heteroatom, which can substantially influence their physical, chemical, and electronic properties. However, conventional analytical techniques for nitrogen environments provide limited compositional and structural information in high sensitivity, which significantly restricts rationalized materials design. Herein, we present the advanced temperature-programmed desorption (TPD) technique up to 2,100°C as a comprehensive analytical tool for chemical speciation in bulk nitrogen-doped carbon materials with record-high sensitivity. Employing complementary X-ray photoelectron spectroscopy, elemental analysis, and computational modeling, we discovered that the gas emission patterns can provide both compositional and structural information regarding nitrogen environments. Importantly, TPD enables the bulk quantification of nitrogen species at 10 ppm levels, which is two orders of magnitude more sensitive than conventional methods. Such an advanced characterization method provides a foundation for next-generation research, focusing on the structural design at the ppm level, and offers significant potential for industrial applications.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| 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 it