A Mössbauer effect study of combinatorially prepared Al<sub>2</sub>O<sub>3</sub><i>/</i>Fe and LiF/Fe multilayers
Bibliographic record
Abstract
Nanocomposites of lithium fluoride and transition metals have been proposed for use as positive electrode materials in lithium ion batteries. The interface between the two phases is thought to play a very important role in the electrochemical activities of these nanocomposites. In this paper, two Fe/insulator multilayer systems were prepared and investigated by means of small angle x-ray scattering (SAXs), x-ray diffraction and 57Fe M?ssbauer spectroscopy measurements. These samples consist of wedges of Fe (between 0 and 1.5?nm thickness) separated by a 2.1?nm constant thickness Al2O3 spacer and wedges of Fe (between 0 and 2.0?nm thickness) separated by a 1.6?nm constant thickness LiF spacer. For both Al2O3/Fe and LiF/Fe multilayers, SAXs shows Bragg peaks due to modulated superstructures. For the Al2O3/Fe multilayers, 57Fe M?ssbauer spectra show that three types of Fe exist within the interface region between Fe and amorphous Al2O3 layers: ?-Fe with a face centered cubic structure, Fe in interstitial sites within amorphous alumina and an Fe2+ species, much like FeAl2O4. For the LiF/Fe multilayers, 57Fe M?ssbauer spectra show that an interfacial region about 0.2?0.3?nm wide exists between the LiF and Fe layers. The data suggest that the Li:F ratio is less than 1 within the interface region, as expected due to 'sharing' of the electronegative F atoms by the two cations. The excess Li ions and electrons are thought to be stored on either side of the interface by a mechanism proposed by Maier and co-workers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".