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Record W1981355198 · doi:10.1149/05012.0325ecst

Functionalization of Pyrolyzed Carbon Structures for Bio-Nanoelectronics Platforms

2013· article· en· W1981355198 on OpenAlexaff
Mieko Hirabayashi, Beejal Mehta, Ajit Khosla, Sam Kassegne

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsSimon Fraser University
FundersSan Diego State University
KeywordsPyrolysisSurface modificationMaterials sciencePhotoresistCarbon fibersChemical engineeringFourier transform infrared spectroscopyAuger electron spectroscopyNanotechnologyEtching (microfabrication)Analytical Chemistry (journal)ChemistryOrganic chemistryComposite materialLayer (electronics)

Abstract

fetched live from OpenAlex

In this study, the surface-treatment of pyrolyzed carbon microelectrodes - which are otherwise chemically inert - for improving their attachment chemistry with double-stranded DNA molecular wires as part of a bio-nanoelectronics platform is investigated. Pyrolyzed carbon microelectrodes are fabricated using standard negative lithography procedures with SU-¬8 (10) negative-tone photoresist on a silicon wafer. These microelectrode structures are then pyrolyzed and converted to a form of conductive carbon that we refer to as PSU-8. Functionalization of the resulting pyrolyzed structures is done using oxygen plasma etching and the results confirmed with Fourier Transform Spectroscopy. Post-pyrolysis analysis using Electron Dispersion X-ray Spectroscopy (EDS) shows a decrease in oxygen content after pyrolysis and higher oxygen concentrations at the edges and location of defects. FTIR results confirm the presence of carboxyl and hydroxyl groups in both untreated pyrolyzed carbon (PSU-8) and plasma-treated PSU-8 structures.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.670
Threshold uncertainty score0.442

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 head0.005
GPT teacher head0.187
Teacher spread0.181 · 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.

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

Citations7
Published2013
Admission routes1
Has abstractyes

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