Vibronic and Spin-Orbit Interplay Governs Ultrafast Spin Crossover in an Iron(II) Carbene Complex
Bibliographic record
Abstract
Iron(II) complexes are increasingly recognised as sustainable, earth-abundant alternatives to precious metal chromophores, though their use has been constrained by ultrafast excited-state deactivation through low-lying metal-centred (MC) states. Here, we present a comprehensive theoretical investigation of the iron carbene complex [Fe(bmip)2]2+ (bmip = 2,6-bis(3-methyl-imidazole-1-ylidene)pyridine), elucidating how vibronic coupling, spin-orbit coupling (SOC), and environmental reorganisation collectively modulate spin-crossover (SCO) dynamics following metal-to-ligand charge transfer (MLCT) excitation. Using ab initio electronic structure calculations and hierarchical equations of motion simulations, we trace population transfer from the initially photoexcited singlet MLCT to triplet states. The strong σ-donor character of the carbene ligands raises the MC state energies, thereby stabilising the MLCT manifold and extending its lifetime to several picoseconds, around two orders of magnitude longer than in conventional Fe(II) polypyridines. The results reveal sub-100 fs intersystem crossing (ISC) from singlet to triplet MLCT states, followed by a slower decay that avoids rapid relaxation to MC levels. Importantly, ISC proceeds efficiently only via specific vibrational modes, identifying vibronic coupling as the principal gating mechanism. These findings provide a clear framework for tuning ligand fields and coupling strengths to optimise excited-state lifetimes and spin dynamics in next-generation Fe-based photosensitisers.
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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) | 0.001 | 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".