Two Algorithms for Defining Atoms and Molecules in Condensed Phases
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Bibliographic record
Abstract
Abstract Two algorithms for defining single entities in condensed phase based on the calculation of a zero flux surface of the gradient of the electron density are proposed. First the two approaches are applied to a water molecule in a liquid system; the different behaviour of the two algorithms is graphically shown in the planar section of the molecular plane (i.c., HOH plane of the molecule analyzed). Next, using the two algorithms for partitioning electron density, the average molecular dipole moment of the water molecule in liquid phase is calculated averaging over several configurations; analogies and differences with other methods are reported and their physical interpretation is discussed. There exist different approaches for calculating the zero flux surface (or equivalently the volume defined by such a surface); the two described in this work differ from the others because the calculation in both cases is straightforward (i.e., the surface is determined directly from the data corresponding to the electron density) and is characterized by a relatively short computational time.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it