Solid Electrolyte Interphase Engineering for Aqueous Aluminum Metal Batteries: A Critical Evaluation
Bibliographic record
Abstract
Abstract Rechargeable aqueous aluminum metal batteries (AAMBs) have long been considered unachievable because of the spontaneously formed ionically passivating oxide film and hydrogen evolution reaction on Al. In response, two solid electrolyte interphase (SEI) construction methods, namely, 5 m (mol kg −1 ) Al(OTF) 3 ‐based water‐in‐salt electrolyte (Al‐WiSE) and chloroaluminate ionic liquid (IL) pretreatment have been recently reported and seemingly reversible AAMBs were achieved. However, the SEI forming ability of a relatively low concentration Al‐WiSE and the fundamental nature of the IL‐derived SEI remain unclear. Here, with thorough computational, electrochemical, and spectroscopic characterizations, it is revealed that contrary to previous reports, neither of the methods build a stable and effective SEI, and hydrogen evolution reaction remains as the cathodic reaction, without Al deposition. This is the underlying reason for the poor voltage and cyclabilities of current AAMBs. Using insights gained in this work, suggestions for future research is offered on reliable electrolytes and interphases to enable truly reversible AAMBs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".