Bibliographic record
Abstract
In layered electrides, the conducting electrons fill the two-dimensional interstitial voids between the atomic planes, which is expected to result in weakened electron-phonon coupling and give rise to high mobility and conductivity. In this paper, using density functional theory, we explore the room-temperature electron-phonon scattering and transport properties of seven layered electrides belonging to the alkaline earth subpnictogenide family (${\mathrm{Ca}}_{2}\mathrm{N}, {\mathrm{Sr}}_{2}\mathrm{N}, {\mathrm{Sr}}_{2}\mathrm{P}, {\mathrm{Ba}}_{2}\mathrm{N}, {\mathrm{Ba}}_{2}\mathrm{P}, {\mathrm{Ba}}_{2}\mathrm{As}$, and ${\mathrm{Ba}}_{2}\mathrm{Sb}$) and compare them to three traditional high-conductivity metals (Cu, Au, and Al). Several electrides are found to have low scattering rates compared with the metals, resulting from weak electron-phonon interaction, between 3 and $13\ifmmode\times\else\texttimes\fi{}$ lower than the metals, which is shown to originate from the spatial separation of the conducting electrons from the lattice. ${\mathrm{Sr}}_{2}\mathrm{N}$ and ${\mathrm{Ca}}_{2}\mathrm{N}$ are predicted to be the best conductors among the electrides, with high anisotropy, due to reduced scattering leading to long average mean-free paths for backscattering reaching 48 nm. However, the metals display the highest conductivities owing to their larger distribution of modes, originating from higher electronic velocities. These findings may help guide the discovery of electrides with exceptionally weak electron-phonon coupling and record high conductivity.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".