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Nanoporous Silicon-Based Direct Hydrochloric Acid Fuel Cells

2013· article· en· W2030465915 on OpenAlexvenueno aff
T. D. Dzhafaröv, S. AydinYuksel

Bibliographic record

VenueJournal of Technology Innovations in Renewable Energy · 2013
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsnot available
Fundersnot available
KeywordsNanoporousHydrochloric acidSiliconFuel cellsMaterials scienceChemical engineeringNanotechnologyOptoelectronicsMetallurgyEngineering

Abstract

fetched live from OpenAlex

Fabrication and characterization of Au/Porous silicon/Silicon (Au/PS/Si)-type direct hydrochloric acid fuel cells have been presented in this work. The Au/PS/Si cells were prepared by first creating the nanoporous silicon layer in single-crystalline Si using the anodic etching under illumination and deposition Au catalyst layer onto the porous silicon. The porous silicon filled with hydrochloric acid was developed as a proton conducting membrane. Using HCl:H2O (1.7 M) solution as fuel the open circuit voltage of 0.65 V was obtained and maximum power density of 3.5 mW/cm2 at room temperature was achieved. It is shown that the Au/PS/Si-type direct hydrochloric acid fuel cell with gold catalyst operating at room temperature can be considered as the most promising type of low cost fuel cell for small power-supply units.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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