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Record W3039043987 · doi:10.1017/s1431927600033602

Low Energy Electron Transmission Through Thin Polymer Films

2000· article· en· W3039043987 on OpenAlexaff
William Kuhlman, Matthew Libera, Mario Gauthier

Bibliographic record

VenueMicroscopy and Microanalysis · 2000
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolystyreneMaterials sciencePolymerMonolayerTransmission electron microscopyThin filmElectronCathode rayCarbon fibersElectron beam processingIrradiationTolueneChemical engineeringPolymer chemistryNanotechnologyComposite materialChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract While transmission and beam damage have been well documented in the TEM at high accelerating potentials, considerably less is known about these phenomena at lower accelerating potentials. Imaging using low accelerating potentials may be attractive as an analytic technique, because chemical degradation associated with electron beam irradiation in organic macromolecules may be a function of accelerating potential (e.g. 1, 2). The present work examines low-energy electron transmission through thin polymer films and beam damage produced by low energy (∼ 0.5-10 keV) electrons. Thin films of polystyrene were prepared by allowing a ∼ 0.005% solution of G3-5k arborescent polystyrene in toluene to evaporate on a holey carbon film. In solution, this arborescent polystyrene consists of spherical molecules of order 45 nm in diameter (3). When evaporated from dilute solution on a holey carbon film, monolayer thick self-assembled membranes form in some of the holes (figs. 1 and 2). The resulting films are highly reproducible in thickness and have a relatively uniform morphology (fig. 3).

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 categoriesInsufficient payload (model declined to judge)
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 score0.075
Threshold uncertainty score0.995

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)0.0050.000

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 head0.003
GPT teacher head0.218
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; a candidate call from one teacher head, not a consensus.

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
Published2000
Admission routes1
Has abstractyes

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