Morphological and magnetic characterization of electrodeposited magnetite
Bibliographic record
Abstract
This thesis describes the synthesis, structure, morphology, and magnetic property relations of electrodeposited magnetite. Thin film magnetite was synthesized on polycrystalline brass or Au/Cr/glass substrates using an aqueous electrodeposition technique. Magnetite formation in electrolytes (containing KCH₃COO and Fe(SO₄)₂(NH₄)₂) required temperatures between 60°C and 85°C, and deposition potentials between -0.300 V and 0.575 V or galvanostatic current densities between 50 μA/cm² and 88 μA/cm². Magnetite crystallites had an octahedral habit when grown from electrolytes with low acetate concentrations, and a more rounded morphology when grown from acetate-enriched electrolytes. Magnetic hysteresis studies show that magnetite grown with lower acetate concentrations displays monotonically increasing coercivity (100-300 Oe), and monotonically decreasing squareness (80-35%), with increasing overpotential. In contrast, magnetite grown from acetate-enriched electrolytes had a much lower squareness (~ 25%) and coercivity (~ 50 Oe). This evidence suggests that potential and electrolyte composition can be adjusted to change domain behaviour from pseudo-single domain type (for low overpotentials and low acetate concentrations) to multi-domain type (for either high overpotentials or high acetate concentration). -- Magnetic hysteresis data also show that an exchange bias is present in samples \ncontaining both magnetite and iron oxide hydroxides. A preliminary study has shown that it is difficult to electrodeposit distinct bilayers of magnetite and the antiferromagnetic iron hydroxide goethite (α-FeOOH).
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".