Electrophoretic deposition of linear polyethylenimine and composite films
Bibliographic record
Abstract
Electrophoretic deposition method has been developed for the electrodeposition of linear polyethylenimine (LPEI) films. The deposition mechanism is based on the electrophoresis of protonated LPEI-H+, base generation at the cathode surface, charge neutralisation and formation of insoluble LPEI films. Quartz crystal microbalance data, coupled with the results of electron microscopy, showed that deposition rate and film thickness can be varied and controlled by the variation of deposition time and voltage. LPEI films provided corrosion protection of stainless steel substrates. LPEI was used for the dispersion, charging and electrophoretic deposition of TiO2, hydrotalcite and MnO2 particles and fabrication of composite films. Scanning electron microscopy and thermogravimetric analysis showed the formation of composite films, containing 45·4%TiO2, 53·1% hydrotalcite and 33·3%MnO2 in the LPEI matrix. The film thickness was varied in the range of 0·1–4 μm by variation of the deposition time at a constant deposition voltage. The proposed approach paves the way for the fabrication of organic–inorganic composite films combining functional properties of LPEI and inorganic materials.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".