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Record W4405807128 · doi:10.53063/synsint.2024.44250

Neutron shielding performance of polyethylene-7% B and Al-30 wt% B4C composites fabricated via hot-press sintering

2024· article· en· W4405807128 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSynthesis and Sintering · 2024
Typearticle
Languageen
FieldMaterials Science
TopicRadiation Shielding Materials Analysis
Canadian institutionsnot available
FundersNuclear Science and Technology Research Institute
KeywordsElectromagnetic shieldingMaterials scienceComposite materialSinteringPolyethylene

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.238
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it