Pulsed laser-induced dewetting for the production of noble-metal high-entropy-alloy nanoparticles
Bibliographic record
Abstract
We report the production of quinary AgCuPdPtAu high-entropy-alloy (HEA) nanoparticles using the pulsed laser-induced dewetting (PLiD) technique, which is shown to be a facile approach applicable to both low- and high-melting-point metals. In addition, the atomic composition in the HEA nanoparticles can be controlled by varying the thickness of composite metal in the multi-layer thin films prior to dewetting. The instantaneous heating from the interaction of nanosecond laser pulse with metal and the ultrafast cooling rate involved in the PLiD process has uniquely positioned it as a non-equilibrium approach to facilitating the formation of HEA nanoparticles with the uniform atomic mixing of different metal elements. We studied the electronic structure and the charge redistribution in the produced AgCuPdPtAu HEA NPs by X-ray photoelectron spectroscopy (XPS) and X-ray absorption near edge structure (XANES). The XPS valence band spectra with significant narrowing in the overall d band and the centroid further away from the Fermi level provide strong evidence for the d-orbital mixing and randomization of different metal components in the HEA nanoparticles. The d-charge redistributions among the constituent metal atoms of Ag, Cu, Pd, Pt, and Au have been further investigated using the XPS core-level spectra and XANES spectra of the five metals. The demonstrated viability of PLiD for the fabrication of HEA NPs and the results on the electronic structure and charge redistribution in the HEA NPs revealed by XPS/XANES would open up many opportunities for the future study of HEA NPs by X-ray spectroscopic techniques.
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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".