Fabrication and characterization of aluminum-molybdenum nanocomposite membranes
Bibliographic record
Abstract
Nanomembranes with thicknesses less than 100 nm and high width-to-thickness ratios are of interest in sensing, energy storage, actuator, and optical applications. The fabrication of conductive nanocomposite aluminum-molybdenum (AlMo) membranes as thin as 28 nm and high fracture strength is reported. The density, Poisson's ratio, and Young's modulus of the membranes were determined to be ρ = 5000 ± 550 kg/m3, σ = 0.33 ± 0.05, and E = 127 ± 21 GPa, respectively. The intrinsic stress of the membranes was determined by bulge testing, finite element analysis (FEA), and classical mechanics. The resonance frequencies of the membranes were assessed using FEA and measured by optical interferometry. The fracture strength of the AlMo membranes was 1.89 ± 0.45 GPa, and the average resistivity was ρ = 5810 ± 44 μΩ cm. The high fracture strength and low resistivity of such AlMo membranes makes them attractive in the design of microdevices requiring ultrathin yet electrically conductive membranes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".