Simulation of Synthesizing Titanium Nanoparticles in a Radio-frequency Inductively Coupled Plasma
Why this work is in the frame
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Bibliographic record
Abstract
Following the rising demand for nanoparticles for plasmonic applications, Induction Plasma Synthesis is a promising technique for the synthesis of nanoparticles or nano-structured coating. A numerical study has been conducted on the evolution of Titanium particles in a radio-frequency (RF) inductively coupled plasma (ICP). A comprehensive model consisting of three sub-models is developed. A 2-dimensional axisymmetric computational model of a 40 MHz RF-ICP torch has been constructed to investigate the thermo-fluid field of the torch. The mathematical particle tracing model based on the Lagrangian tracking method incorporates the Stefan-Fuchs evaporation mechanism is built. And lastly, to understand the mechanism of nanoparticle formation such as nucleation and particle growth, a growth model under the scheme of the nodal method has been developed. Parametric studies for the influences of coil power, precursor particle size, and material feed rate are performed to find a way of controlling the operating conditions for desirable final particle size. The results of particle temperature, nucleation rate, particle mean diameter, and final size distribution are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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 it