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Micro-fluidic channel fabrication via two-photon absorption (TPA) polymerization assisted ablation

2009· article· en· W2007083845 on OpenAlexaff
Sarthak Jariwala, Bo Tan, Krishnan Venkatakrishnan

Bibliographic record

VenueJournal of Micromechanics and Microengineering · 2009
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFabricationFluidicsAblationAbsorption (acoustics)PolymerizationMaterials scienceTwo-photon absorptionOptoelectronicsChannel (broadcasting)NanotechnologyOpticsPolymerComposite materialEngineeringElectrical engineeringPhysicsLaser

Abstract

fetched live from OpenAlex

Two-photon absorption (TPA) polymerization assisted ablation is a simple, fast and repeatable method for fabricating micro-fluidic channels. Since it is a maskless method, it is relatively inexpensive and faster than other conventional lithography techniques. Unlike direct ablation, TPA assisted ablation requires significantly less energy; as a result, it has greater control over the desired feature size and spatial resolution. In this work, we also show that ORMOCER has pronounced TPA assisted ablation threshold behavior, which is related to laser parameters such as spot radius, repetition rate and scan speed, in addition to the chemical properties of the photoresist. By manipulating these parameters, any two-dimensional-shaped micro-fluidic channels with desired channel width and depth can be fabricated.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

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