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Record W2356470800

An Integrated Velocity Profile Measurement from Nanosecond Pulse Laser-Driven Mini-Flyer to Shocked Sample

2012· article· en· W2356470800 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLaser-induced spectroscopy and plasma
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsLaserMaterials scienceShock waveOpticsShock (circulatory)FOIL methodJet (fluid)MechanicsPhysicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

It is very important to develop a high time and space resolved velocity diagnostic technique for laser-driven shock wave experiments.However,it is still a difficult problem because of the limited size of laser-launched mini-flyer and ultra-short loading time in shocked sample.Thus,a micro focus Doppler pins system with time resolution of 50 ps and spatial resolution of 200 mm has been developed in our nanosecond laser-driven shock wave experiments,to perform an integrated velocity profile measurement from laser driven mini-flyer to impacted sample.The measured particle velocity of Z-cut quartz sample is 1.27 km/s while the impact velocity of 6 μm-thick Al foil is 2.48 km/s,which is in agreement with the calculated Hugoniot results.This validates our technique.Using our technique,the experimental results for three different types of mini-flyers show that the substrate/deposit layer/silicone oil/Al foil flyer structure has higher laser energy coupling efficiency and better integrity.This is valuable for designing a laser-driven shock wave experimental assembly.These results indicate that our technique is a viable approach for studying dynamics of laser-driven shock wave in materials.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.017
Threshold uncertainty score1.000

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)0.0080.001

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.

Opus teacher head0.027
GPT teacher head0.241
Teacher spread0.214 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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