Vibrational Circular Dichroism Spectra of Atomically‐Precise Metal Clusters: Unveiling Conformational Structures and Mechanism of VCD Enhancement via Full Models
Bibliographic record
Abstract
Abstract While the inherent imprecision of nanoparticles has hindered a thorough comprehension of chirality transfer and enhancement events at the nanoscale, recent advances in ultrastable, chiral metal clusters offer a unique opportunity to tackle this challenge with atomic precision. Four atomically‐precise metal clusters with octahedral metal cores protected by monolayer organic ligands, namely Ag 6 PL 6 /PD 6 , and Cu 6 PL 6 /PD 6 (PL 6 /PD 6 = (S)‐/(R)‐4‐phenylthiazolidine‐2‐thione) are investigated using vibrational circular dichroism (VCD) in conjunction with theoretical modeling and electronic CD. Extensive and systematic conformational searches are carried out for the ligand and metal clusters. The IR and VCD spectra of the most stable conformers are simulated using full models, demonstrating excellent agreements with experiment and uncovering the preferred ligand conformational arrangements. A modified modes approach is developed to unveil the roles of individual ligands, their collective arrangements and numbers, and the metal core asymmetry in the drastic VCD enhancement. While commonly used truncated models with fewer metal atoms and/or ligands exhibit their critical deficiencies, the full models provide a solid foundation for accurately predicting the chiral properties of nanosized materials.
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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 | 0.000 | 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 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".