Sterically Protected N-Heterocyclic Polymers: Unlocking the Potential of Alkaline Anion Exchange Membrane-Based Electrochemical Devices
Bibliographic record
Abstract
There has been considerable interest in alkaline anion exchange membranes (AAEMs) for use in electrochemical applications such as water electrolyzers, reverse electrodialysis and fuel cells.1 However, development of AAEMs has long been hindered by the instability of commonly-used cationic groups (e.g., ammonium, phosphonium) under conditions of high pH and elevated temperature. At Ionomr Innovations Inc, we have been developing AemionTM, derived from sterically protected, N-heterocyclic-based AEMs, which exhibits remarkably high stability under a variety of different conditions (e.g., pH, temperature). This includes results from both the ex-situ studies commonly found in literature as well as in-situ tests using electrochemical devices (e.g., AAEMFC, alkali water electrolysis) for which no equivalent durability has been found with other commercially available membranes. This presentation will cover some of work in both the ex-situ and in-situ characterization of these materials and progress in scaling them up to production levels. 1. J. R. Varcoe, R. C. T. Slade Fuel Cells 2005, 5, 187-200.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".