Connection between Phase Diagram, Structure and Ion Transport in Liquid, Aqueous Electrolyte Solutions of Lithium Chloride
Bibliographic record
Abstract
The nature of structure and ion transport in liquid electrolyte solutions are still not fully understood over the whole concentration range. In this work, we have studied aqueous solutions of lithium chloride as a model salt due to its very high solubility in water and ample knowledge of its structure and physiochemical properties. We have analyzed the ionic conductivity (κ) vs. concentration (C) plots based on free volume approach and our recently developed equation: κ = AC exp[ − B C ] and conductivity vs. temperature plots based on Arrhenius equation. We find that the solutions show little variation in free volume with concentration, or even temperature, but a rapid increase in activation energy and pre-exponential factor. We relate the significant changes in conductivity to changes in structure and transport in the solutions and connect them to the binary LiCl/H 2 O phase diagram. We hypothesize that the changes are caused by a breakdown of the bulk water structure near the eutectic composition that causes a change in transport mechanism. We believe that this connection between solution structure, ion transport and phase diagram is common in most aqueous and non-aqueous electrolyte solutions and explains the origin of maximum in conductivity in isothermal conductivity vs. concentration plots.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".