Neutron shielding performance of polyethylene-7% B and Al-30 wt% B4C composites fabricated via hot-press sintering
Bibliographic record
Abstract
The current research aims to investigate the neutron shielding features of polyethylene-7% B and Al-30 wt% B4C composites that are fabricated via the hot-press sintering. The practical analysis was conducted via Neutron radiography and simulation through MCNP code. The results illustrated the Al-30 wt% B4C with 5 mm thickness has equivalent neutron absorption properties with 14 mm thickness of PE-%7 B. Composites with higher density and homogenous distribution of B4C have a better neutron shield property. Al-30 wt% B4C Composite fabricated at 650 °C has a higher neutron absorption property. Experimental and simulation findings confirmed each other at the lower thicknesses and Al-30 wt% B4C has better neutron shielding than PE-7% B. At thicknesses over 1 cm, the amount of cross-sectional area of polyethylene-7% B and Al-30 wt% B4C composites are near to each other. By increasing the thicknesses of composites, the relative total dose reduction and the shield properties of composites are enhanced.
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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 | 0.000 |
| 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) | 0.001 | 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".