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Record W4411226877 · doi:10.1002/admt.202500225

Photoresist‐Assisted 3D Printing for Rapid Fabricating Circular Microchannel

2025· article· en· W4411226877 on OpenAlex
Xiaoshi Han, Hui Chang, Yingze Wangguan, Chengji Song, Dongqing Li, Yongxin Song

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced Materials Technologies · 2025
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Waterloo
FundersNational Natural Science Foundation of China
KeywordsPhotoresistMicrochannelMaterials scienceNanotechnology3D printingOptoelectronicsComposite materialLayer (electronics)

Abstract

fetched live from OpenAlex

Abstract While 3D printing‐based microchannel fabrication is advantageous in terms of simple and time‐saving, the rough surface of the fabricated channel limits its wide application. To address this problem, this paper introduces a photoresist‐assisted 3D printing technique for fabricating circular master molds tailored for soft microchannel fabrication. The effects of photoresist spin‐coating speeds and 3D‐printed convex microstructure sizes on surface roughness and the sizes of the fabricated microchannel are investigated. It is found that after photoresist spin‐coating, the surface roughness of the printed microstructure is reduced to 15.44 nm. The thickness of the coated photoresist film and the bottom width of the microchannel decreased with the increase in spin‐coating speed, while the channel height is the same as that of 3D‐printed microstructures. Parallel microchannels with a separation distance of 65.75 µm are fabricated. This technique is further applied for fabricating a pneumatically actuated microvalve and a straight microchannel with variable heights for real‐time detection and counting of living microalgae.

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 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 score0.164
Threshold uncertainty score0.906

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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