Anomalous Electrodeposition of Metallic Mn Nanostructured Films on H-Terminated Si(100) at Anodic Potential
Bibliographic record
Abstract
Electrodeposition of metallic Mn films onto H-terminated Si(100) from a solution of 10 mM MnCl 2 and 2 M NH 4 Cl is studied by linear sweep voltammetry over three different potential ranges (0 to −3.0 V, −3.0 to 1.5 V, and 0 to 1.5 V). Scanning electron microscopy shows that the formation of dendritic nanostructured films on H-terminated Si(100) occurs only in the positive potential range. X-ray photoelectron spectroscopy reveals that these films consist of metallic Mn covered by Mn 7 O 13 hydrates and pyrolusite (β-MnO 2 ) as a minor surface component. Glancing-incidence X-ray diffraction shows that the Mn 7 O 13 hydrate features are of the hexagonal phase, while the metallic Mn is amorphous. A plausible mechanism involving the reduction of Mn 2+ to metallic Mn along with the oxidation of Si to SiO x on the H-terminated Si(100) substrate is proposed to account for the observed anomalous anodic electrodeposition of metallic Mn. Furthermore, by annealing the resulting metallic Mn film at 600 °C in N 2, a mixture of manganese silicides (MnSi and MnSi ∼1.7 ) covered by manganese silicate (Mn 2 SiO 4 ) is formed. Increasing the annealing temperature to 1000 °C significantly reduces the amount of silicate, and MnSi appears to have completely converted to MnSi ∼1.7 .
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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".