Crystal Lattice-Induced Stress modulates Photoinduced Jahn–Teller Distortion Dynamics
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Efficient photoredox chemical transformations are essential to the development of novel, cost-effective, and environmentally friendly synthetic methodologies. The concept of the entatic state in bioinorganic catalysis proposes that a preorganized structural configuration can reduce the energy barriers associated with chemical reactions. This concept provides one of the guiding principles to enhance catalytic efficiency by maintaining high-energy conformations close to the reaction’s transition state. Copper(I)-based photocatalysts, recognized for their low toxicity and highly negative oxidation potentials, are of particular interest in entasis studies. In this study, we explore the impact of entasis caused by stress induced by the surrounding lattice on the excited state dynamics of a prototypical copper(I)-based photocatalyst in a single crystal form. Using femtosecond broadband transient absorption spectroscopy, we show that triplet state formation from the entactic state is faster (∼3.9 ps) in crystals compared with solution (∼11.3 ps). The observed faster intersystem crossing in crystals hints toward the possible existence of distorted square planar geometry with higher spin–orbit coupling at the minima of the S 1 state. We further discuss the influence of entasis on vibrationally coherent photoinduced Jahn–Teller distortions. Our findings reveal the photophysical properties of the copper complex under lattice-induced stress, which can be extended to enhance the broader applicability of the entatic state concept in other transition metal systems. Understanding how environmental stress-induced geometric constraints within crystal lattices affect photochemical behavior opens avenues for designing more efficient photocatalytic systems based on transition metals, potentially enhancing their applicability to sustainable chemical synthesis.
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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".