<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi mathvariant="normal">Sr</mml:mi><mml:mi mathvariant="normal">Ti</mml:mi><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mn>001</mml:mn><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mn>2</mml:mn><mml:mo>×</mml:mo><mml:mn>1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math>reconstructions: First-principles calculations of surface energy and atomic structure compared with scanning tunneling microscopy images
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
$(1\ifmmode\times\else\texttimes\fi{}1)$ and $(2\ifmmode\times\else\texttimes\fi{}1)$ reconstructions of the (001) $\mathrm{Sr}\mathrm{Ti}{\mathrm{O}}_{3}$ surface were studied using the first-principles full-potential linear muffin-tin orbital method. Surface energies were calculated as a function of $\mathrm{Ti}{\mathrm{O}}_{2}$ chemical potential, oxygen partial pressure ${p}_{{\mathrm{O}}_{}2}$and temperature. The $(1\ifmmode\times\else\texttimes\fi{}1)$ unreconstructed surfaces were found to be energetically stable for many of the conditions considered. Under conditions of very low oxygen partial pressure the $(2\ifmmode\times\else\texttimes\fi{}1)$ ${\mathrm{Ti}}_{2}{\mathrm{O}}_{3}$ reconstruction [Martin R. Castell, Surf. Sci. 505, 1 (2002)] is stable. The question as to why STM images of the $(1\ifmmode\times\else\texttimes\fi{}1)$ surfaces have not been obtained was addressed by calculating charge densities for each surface. These suggest that the $(2\ifmmode\times\else\texttimes\fi{}1)$ reconstructions would be easier to image than the $(1\ifmmode\times\else\texttimes\fi{}1)$ surfaces. The possibility that the presence of oxygen vacancies would destabilise the $(1\ifmmode\times\else\texttimes\fi{}1)$ surfaces was also investigated. If the $(1\ifmmode\times\else\texttimes\fi{}1)$ surfaces are unstable then there exists the further possibility that the $(2\ifmmode\times\else\texttimes\fi{}1)$ DL-$\mathrm{Ti}{\mathrm{O}}_{2}$ reconstruction [Natasha Erdman et al. Nature (London) 419, 55 (2002)] is stable in a $\mathrm{Ti}{\mathrm{O}}_{2}$-rich environment and for ${p}_{{\mathrm{O}}_{2}}>{10}^{\ensuremath{-}18}$ atm.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.004 | 0.007 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.365 | 0.003 |
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