Intercalation-Induced Exfoliation and Thickness-Modulated Electronic Structure of a Layered Ternary Vanadium Oxide
Bibliographic record
Abstract
Solid-state compounds wherein electrons cannot be described as noninteracting particles and instead show strongly correlated behavior are of interest both as systems manifesting novel quantum chemical phenomena as well as for electronic device applications. In the absence of predictive theoretical descriptors, modulation of the properties of these compounds tends to be challenging, and generalizable strategies for modulating closely coupled lattice, orbital, and spin degrees of freedom are exceedingly sparse. Here, it is shown that exfoliation mediated by cation intercalation can serve as a powerful means of modulating the electronic structure of layered correlated materials. Using a strongly correlated and charge-ordered layered compound, δ-Sr 0.50 V 2 O 5, as a model system, it is shown that the band gap can be drastically altered from ca. 1.07 to 2.32 eV and the electron correlation strength can be greatly modified by intercalation-driven exfoliation to 2D nanosheets upon elimination of structural coherence along one dimension. These findings suggest that intercalation chemistry and solution-phase exfoliation provide a versatile strategy for modulating the electronic structure of quantum materials with potential for realizing Mott and neuromorphic circuitry.
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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) | 0.001 | 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".