Pc-C10: An innovative carbon allotrope with concurrent metallic conductivity and exceptional mechanical property
Bibliographic record
Abstract
Carbon, renowned for its versatility in bonding and structural diversity, has long been a focal point of materials research. Despite extensive studies on carbon allotropes, a significant challenge remains: the development of carbon materials that combine both exceptional mechanical properties and electrical conductivity. Here, we propose a novel sp 2 - sp 3 hybridized tetragonal carbon allotrope Pc -C 10 via first-principle calculations. This structure is more energetically favorable than graphite at pressures above 55 GPa, suggesting the potential for synthesis via high-pressure phase transitions. Our results show that Pc -C 10 not only exhibits metallic conductivity through a quasi-one-dimensional conducting channels but also demonstrates superconductivity with a critical temperature of 0.25 K. This new carbon structure displays remarkable mechanical properties, including a hardness of 26 GPa, tensile and shear strengths over 80 GPa for outstanding resistance to deformation and fracture. In particular, a unique damage-self-repair-strengthening behavior is displayed during shear. The combination of these distinctive properties makes this novel carbon material a promising candidate for future applications in electronics, superconductivity, and structural materials technology. • Pc -C 10 demonstrates enhanced thermodynamic stability over fullerene C 60 . • Pc -C 10 exhibits unique quasi-one-dimensional conductive channel and superconductivity with a critical temperature of 0.25 K. • The maximum tensile strength of Pc -C 10 along the [110] direction will reach 159 GPa, with the tensile strains being 39 %. • Pc -C 10 exhibits the distinctive damage-triggered adaptive strength enhancement behavior during shear.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".