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Record W2078226783 · doi:10.1021/cm990440t

Laser Flash Photolysis Study of Two Aromatic <i>N</i>-Oxyimidosulfonate Photoacid Generators

2000· article· en· W2078226783 on OpenAlexaff
F. Ortica, J. C. Scaiano, Gerd Pohlers, J. Cameron, Anthony Zampini

Bibliographic record

VenueChemistry of Materials · 2000
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Photolithography Techniques
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFlash photolysisPhotochemistryChemistryAcetonitrileBenzenePhthalimideOrganic chemistryReaction rate constantKinetics

Abstract

fetched live from OpenAlex

In this paper we study the photophysical and photochemical behavior of two aromatic N -oxyimidosulfonate photoacid generators (PAGs), N -trifluoromethylsulfonyloxy-phthalimide (PIT) and N -trifluoromethylsulfonyloxy-1,8-naphthalimide (NIT), by means of absorption and emission stationary techniques and nanosecond and picosecond laser flash photolysis. Triplet states have been detected for both compounds; lifetimes of 12 μs and 43 μs (acetonitrile solution) and 2 μs and 28 μs, (benzene solution), were measured for PIT and NIT, respectively. Photoacid generation quantum yields have also been measured (Φ = 0.28 in acetonitrile, Φ = 0.21 in benzene for PIT; Φ = 0.17 in acetonitrile, Φ = 0.09 in benzene for NIT), using Rhodamine B Base as an acid sensor and 2-methyl-4,6-bis(trichloromethyl)-1,3,5-triazine as a suitable actinometer with 308-nm laser excitation. Evidence that photoacid generation occurs through an ionic mechanism from the singlet state was obtained.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.007
GPT teacher head0.230
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations64
Published2000
Admission routes1
Has abstractyes

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