Ultrafast Heat Transfer at the Nanoscale: Controlling Heat Anisotropy
Bibliographic record
Abstract
Thermoplasmonics has benefited from increasing attention in recent years by exploiting the photothermal effects within plasmonic nanoparticles to generate nanoscale heat sources. Recently, it has been demonstrated that exciting gold nanoparticles with ultrashort light pulses could be used to achieve high-speed light management and nanoscale heat-sensitive chemical reaction control. In this work, we study non-uniform thermal energy transient distribution inside cross-shaped nanostructures with femtosecond transient spectroscopy coupled to a thermo-optical numerical model, free of fitting parameters. We show experimentally and numerically that the polarization of the excitation light can control the heat distribution in the nanostructures. We also demonstrate the necessity of considering nonthermal electron ballistic displacement in fast transient heat dynamics models.
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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 | 0.001 | 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 | 0.001 |
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".