Cations and Anions Affect the Speed of Sound in Water Oppositely
Bibliographic record
Abstract
Identifying the composition of a solution using acoustics remains a challenge. It is known that for low salt concentrations the speed of sound in water increases linearly with the concentration of the electrolyte, but the contribution of individual cations and anions is unknown. We introduce the concept of intrinsic sound speed A i to quantify the contribution of ions to the speed of sound. We found that cations increase the speed of sound in water whereas anions decrease the speed of sound. Hydration layers around the ions play a major role. Because cations have a hydration layer thicker than that of anions, their contribution to the speed of sound is larger than that of anions. Experimental data on salts not used to determine the contribution of individual ions are in quantitative agreement with the predicted values. Our method can be applied to various systems containing small quantities of ions, molecules, or particles. With the knowledge that cations increase the speed of sound, we were able to explain previously unexplained data in the literature.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".