Characterization of Large-Amplitude Motions and Hydrogen Bonding Interactions in the Thiophene–Water Complex by Rotational Spectroscopy
Bibliographic record
Abstract
The rotational fingerprint of the thiophene–water complex was investigated for the first time using Fourier transform microwave spectroscopy (7–20 GHz) aided by quantum mechanical calculations. Transitions for a single species were observed, and the rotational constants for the parent and 18 O isotopomers are consistent with a geometry that is highly averaged over a barrierless large-amplitude motion of water that interconverts two equivalent forms corresponding to the global minimum (B2PLYP-D3(BJ)/def2-TZVP). In this effective geometry, the water lies above the thiophene ring close to its σ v plane of symmetry. The observed transitions are split by a second water-centered tunneling motion that exchanges its two protons by internal rotation about its C 2 axis with a calculated barrier of ∼2.7 kJ mol –1 (B2PLYP-D3(BJ)/def2-TZVP). Based on quantum theory of atoms in molecules, noncovalent interaction, and symmetry-adapted perturbation theory analyses, the observed geometry enables two intermolecular interactions (O–H···π and O–H···S) whose electrostatic and dispersive contributions favor formation of the thiophene–water complex.
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) | 0.000 | 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) | 0.002 | 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".