Collective Magnetism in 2D Polymer Made of C‐Doped Triangular Boron Nitride Nanoflakes
Bibliographic record
Abstract
Abstract The electronic and magnetic properties of 2D polymer built from triangular boron nitride monomers (tBN) doped with C atom are investigated with first‐principles DFT calculations. Polymers made of pure tBN are insulators as pristine h‐BN, but substituting the central B(N) by C atom in tBN(NB) spontaneously leads to the creation of a spin‐polarized ground state polymer. Moreover, the ground state of C‐doped polymer is an open‐shell semiconductor in which both Dirac and flat bands coexist nearby Fermi level while the nearest excited state is a closed‐shell semi‐metal where the Dirac cone crossed Fermi level. The triangular shape of the monomer, the nature of atomic substitution, and the relative position of C‐dopant among the 2D polymer are contributing to create a strong collective magnetism in conjunction with a significant orbital overlap between C‐dopants separated by 1.0 nm. This collective magnetism is totally suppressed in (CtBN‐CtNB) copolymer arrangement, where the material shows a semiconducting gap with no spin‐polarization and strongly localized states around Fermi level. The results predict a 2D material with long range metal free magnetic ordering, in conjunction with high carrier mobilities from Dirac bands and anisotropic shapes of topological states, that opens the door for 2D organic spintronic 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 | 0.000 |
| 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) | 0.002 | 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 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".