Charting a new course with plasmon-mediated chemistry
Bibliographic record
Abstract
The interaction of light with certain nanoscale metals, most notably the coinage metals, gives rise to unique optical and electronic effects. These properties are largely a result of the generation of surface plasmons, which represent a quantized form of plasma energy. Surface plasmons consequently give rise to several important phenomena, including intense electromagnetic fields at the surface, allowing these metal structures to act as nanoantennas and nanowaveguides. These electric fields are also exploited in surface-enhanced Raman spectroscopy (SERS) and localized surface plasmon resonance (LSPR) sensing. Recently, it has been discovered that surface plasmons also give rise to hot charge carriers (hot electrons, hot holes) arising from Landau damping of the plasmon 1 . These hot charge carriers can drive surface chemistry in an entirely new way. Areas that explore photocatalytic reactions using plasmonic nanomaterials are rapidly expanding, with potential advantages that include low energy input, high selectivity, and mild reaction conditions. Despite the potential promise, challenges remain. The ultrafast relaxation of these hot carriers, generally on the fs timescale, has created a bottleneck in the field in terms of application, and a solid fundamental understanding of these entities is lacking. In this Collection on plasmon-mediated chemistry, we have gathered publications that focus on a deeper mechanistic understanding of these processes and their varied contributions, highlighting new materials and applications in the field.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".