Synthesis of Free‐Standing Alloyed Plasmonic Zr <sub>x</sub> Hf <sub>1‐x</sub> N Nanoparticles
Bibliographic record
Abstract
Abstract Transition metal nitride nanomaterials are emerging as promising candidates for applications in photochemistry and plasmonics due to their stability and tunable optoelectronic properties. While single transition metal containing nitrides have been extensively studied, experimental reports on mixed‐metal systems remain scarce, especially for plasmonic applications. Here, a bottom‐up synthesis of mixed zirconium–hafnium nitride nanoparticles with the general formula A x B 1‐x N is reported. Precise control over metal composition is achieved by varying the ratios of metal halide precursors, enabling systematic tuning of the resulting nanomaterial composition and their optical properties. This approach offers a pathway toward the rational design of multimetallic plasmonic nitrides for advanced photonic applications.
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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".