Ab initio study of chiral recognition in the propylene imine·hydrogen peroxide complex
Bibliographic record
Abstract
High level ab initio calculations were employed to study the chiral recognition effect in several chiral molecular pairs that consist of the propylene imine and hydrogen peroxide molecules. The potential energy surfaces for the complexes formed between S-cis-1,2-propylene imine and the two enantiomeric forms of hydrogen peroxide were constructed, using the calculated interaction energies at different separations and orientations. The energy calculations were done using the MOLPRO suite of programs with CCSD(T)/cc-pVDZ. The energies were counterpoise corrected at every point to eliminate the basis set superposition error. Complete geometry optimizations were further carried out for the molecular complexes consisting of the cis- or trans-propylene imine isomers and the two enantiomeric forms of hydrogen peroxide. The geometry optimizations were done using the Gaussian 98 and 03 suites of programs, with MP2/aug-cc-pVDZ being the highest level used. Altogether, eight stable complexes were identified, and the corresponding dissociation energies were calculated with MP2/aug-cc-pVTZ. The largest chirodiastaltic energy is found at 0.74 kcal mol(-1) for the (syn)trans-propylene imine.hydrogen peroxide complexes, where hydrogen peroxide acts as a hydrogen donor and is on the opposite side of the ring from the methyl group. The rotational constants, dipole moments, and harmonic frequencies of the complexes are presented to assist future spectroscopic investigations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".