Atomic Layer Deposition of Aluminum Phosphorus Oxynitride and Its Application as a Passivation Layer on Aluminum Metal Anode
Bibliographic record
Abstract
Abstract Aqueous aluminum (Al) batteries are an attractive energy storage technology due to the high theoretical capacity of Al, low reduction potential, low cost, and environmental friendliness. However, the practical application of aqueous Al batteries has been hindered by aggressive parasitic reactions, such as Al corrosion, at the Al and aqueous electrolyte interface. For the first time, this work developed aluminum phosphorus oxynitride (AlPON) by plasma‐enhanced atomic layer deposition (PEALD) and applied it to suppress side reactions at the Al and electrolyte interface. The AlPON is obtained by PEALD in a temperature range of 100–180 °C using trimethylaluminum, water, tris(dimethylamino)phosphine, and plasma oxygen as precursors. It is noteworthy that the doubly and triply valent N environment (P–N = P and P–) in AlPON is disclosed by X‐ray photoelectron spectroscopy and synchrotron radiation analysis. The growth rate and composition of AlPON exhibits a strong dependence on the deposition temperature, and therefore, a proposed growth mechanism for AlPON is identified. More importantly, electrochemical evaluation through Tafel curves and electrochemical impedance spectroscopy in the Al|Al symmetric cells revealed that the AlPON coating significantly reduced the self‐corrosion of the Al metal anode and improve its (electro‐)chemical stability in the acidic environment of 1 M Al(OTf) 3 aqueous electrolyte. It is expected that the AlPON‐coated Al can be used as an anode for aqueous Al‐ion batteries.
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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 | 0.000 | 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) | 0.000 | 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".