Inorganic Acid‐Impregnated Covalent Organic Gels as High‐Performance Proton‐Conductive Materials at Subzero Temperatures
Bibliographic record
Abstract
Proton exchange membrane fuel cells usually suffer from severe power loss and even damage under subzero‐temperature working surroundings, which restricts their practical use in cold climates and in high‐altitude drones. One of the effective solutions to these issues is to develop new types of proton‐conductive materials at subzero temperature. This study presents a series of acylhydrazone‐based covalent organic gels (COGs). The COGs are stable in acidic media and show high proton conductivity over the temperature range of −40 to 60 °C under anhydrous conditions. Compared with other reported organic conductive materials, both a state‐of‐the‐art conductivity of 3.8 × 10−4 S cm−1 at −40 °C and superior long‐term stability are demonstrated. Moreover, the COGs possess remarkable self‐sustainability, good processability, and superior mechanical properties, and may be processed and molded into any desirable shapes for practical applications. These advantages make COGs hold great promises as solid‐state electrolytes under subzero‐temperature operating conditions.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".