Efficient <i>ab initio</i> sampling methods in rate constant calculations for proton-transfer reactions
Bibliographic record
Abstract
In this article, the classical potential based importance Monte Carlo sampling method of Iftimie et al. [J. Chem. Phys. 113, 4852, (2000)] is applied to an ab initio simulation of the proton transfer tautomerization reaction of malonaldehyde in an aprotic, nonpolar solvent. It is demonstrated that ad hoc bond-energy bond-order relations derived from bond evolution theory combined with Pauling’s valence bond ideas can be used to construct a molecular mechanics guidance potential for the simulation of the proton transfer reaction which improves the statistics of the calculation by three orders of magnitude. The sampling method is extended to simulations in which quantum effects are treated using the imaginary time path-integral representation. A new algorithm based on multiple Markov chain theory is introduced by which it is possible to obtain very short integrated correlation lengths in calculations of quantum static correlation functions.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".