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Record W2085399772 · doi:10.1021/cm070756y

Highly Selective Wet Etch for High-Resolution Three-Dimensional Nanostructures in Arsenic Sulfide All-Inorganic Photoresist

2007· article· en· W2085399772 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.

fundA Canadian funder is recorded on the work.
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

VenueChemistry of Materials · 2007
Typearticle
Languageen
FieldEngineering
TopicNonlinear Optical Materials Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhotoresistFabricationMaterials scienceNanotechnologyNanostructureEtching (microfabrication)SulfidationArsenicSulfideSulfurMetallurgy

Abstract

fetched live from OpenAlex

In this work, we present the rational synthesis of a novel, highly selective etchant, N -(4-methoxybenzyl)-(pyren-1-yl)amine, enabling the facile and direct fabrication of free-standing 3D structures within an arsenic−sulfide all-inorganic photoresist, patterned via 3D direct laser writing. The chemical and physical underpinnings of this novel wet etchant are described in detail. Our novel molecule enables the fabrication of intricate, shrinkage-free 3D structures with minimum feature sizes of 180 nm in only one etching step. Because of the high transparency of arsenic−sulfide glass in the telecommunication window, structures fabricated along these lines could be well-suited as final structural elements for 3D optical structures and devices in the sub-micrometer scale. The results presented here enable their facile realization, thus making this material a desirable alternative to traditional photopolymers.

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 categoriesMeta-epidemiology (narrow)
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 score0.007
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)0.0000.000

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 head0.008
GPT teacher head0.222
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