Relating the Salt Thermodynamic Factor to Solvent Activities in Ternary Multi-Solvent Electrolytes
Bibliographic record
Abstract
The activities of individual solvent species in multi-solvent ternary liquid electrolytes dictate liquid-solid equilibria and are pertinent to transport phenomena. Nonetheless, considerable scholarship has assumed that such electrolytes can be modeled as single-solvent electrolytes. Relaxing this assumption, we show in the present work that knowledge of the activity of ionic species, described by the salt thermodynamic factor and the transfer activity coefficients at infinite dilution, is sufficient to calculate activity changes of individual solvent species for ternary multi-solvent electrolytes. We also propose measurements of an individual solvent species activity as a method to study (ionic) solvent transfer energies. We apply the derived relationships to the well-characterized liquid electrolyte system LiCl in H2O-EtOH. We also study a non-aqueous electrolyte solution, LiPF6 in EC-EMC, which is important for lithium-ion battery technology. For the latter, we show that in the studied composition space there are non-negligible transfer activity coefficients, highlighting the importance of a multisolvent description of the ternary electrolytes.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".