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Record W2523654927 · doi:10.1149/ma2016-02/18/1539

Developments in Hybrid Electro-Electroless Deposition (HEED)

2016· article· en· W2523654927 on OpenAlexaff
Robert Petro

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsElectroplatingMaterials scienceLayer (electronics)Deposition (geology)ElectrolyteCoatingMetallurgyElectroless depositionAlloyCorrosionMetalSubstrate (aquarium)Chemical engineeringElectrodeNanotechnologyChemistryGeology

Abstract

fetched live from OpenAlex

Hybrid electro-electroless deposition (HEED) is a novel thin film metal deposition technique that combines electroplating and electroless deposition within a single electrolyte. The hybridization of HEED is the result of each deposition process targeting a distinct metal ion, or combination of ions, for reduction. The nature of the deposit is determined by the composition, pH, and temperature of the electrolyte as well as the electroplating potential applied; all of which affect the relative deposition rate of each process. Composite, alloyed, or compositionally modulated layered deposits can all readily be formed using HEED. This work details advancements in controlling the composition and production of both HEED alloys and multi-layers. HEED alloys are produced by using electroplating to either preferentially deposit one component of the electroless alloy, or including a new metal into the electroless deposit. The deposition of Zn enhanced Ni-Zn-P HEED alloys, representing the former case, is shown in connection to the production of corrosion resistant coatings. The electroless process produces coatings over the entire surface while electroplating provides increased Zn content in electroplated regions. The formation of concentration gradients within the coating provides control over where corrosion is most likely to occur. Energy-dispersive X-ray spectroscopy (EDS) was used to determine an increase in Zn content from 26% using electroless deposition to 50% using HEED [1]. The process was carried out on both Cu substrate and Mg alloy substrates. Compositionally modulated HEED, or multi-layer HEED, deposits are produced in a similar fashion to traditionally electroplated multi-layer deposits by modulating the applied deposition potential [1, 2]. Provided appropriate conditions and ion choice, slowing the electroless deposition rate minimizes inclusion of the electroless alloy or metal. With HEED, metals of similar nobility, such as Ni and Co, can be deposited in a multi-layered arrangement [2]. In the multi-layered configuration Ni-P is electrolessly deposited while Co is reduced using electroplating. The atomic composition of the electroless Ni-P layers, tested on Sn/Pd treated glass, was consistently 76% Ni, 22% P, with no more than 2% Co [2], consistent with Ni3P. Within an acidic electrolyte the electroless Ni-P layers are effectively free of Co while the purity of electroplated Co layers is dependent on the electroless deposition rate and relative Co2+ ion availability in solution. Adjusting the pH to the alkaline regime results in alloying of each layer as Co is co-deposited in the electroless deposition phase. Figure 1 shows the competition between Co electroplating and electroless Ni-P deposition at low current density 0.95 A∙dm-2 on a Cu substrate [2]. The low current density slows electroplating while the temperature promotes hastened electroless deposition. The resulting deposit is a composite of each distinct process with the electroless deposition material, EDS Spot 1, and electroplated material, EDS Spot 2, shown to have distinct structures and composition. Increasing the current density to 3.8 A∙dm-2 produces homogeneous alloys as electroplating becomes the dominant process. Lowering the temperature of the electrolyte further increases the dominance of electroplating. [1] Robert Petro and Mordechay Schlesinger, “Development of Hybrid Electro-Electroless Deposit (HEED) Coatings and Applications”, Journal of The Electrochemical Society, 161(10), (2014), p.D1-D6 [2] Robert Petro and Mordechay Schlesinger, “Deposition of Cobalt-Nickel Hybrid Electro-Electroless Deposited (HEED) Modulated Multilayers”, Journal of The Electrochemical Society, 162(4), (2015), p.D154-D158 Figure 1

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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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.196
Teacher spread0.191 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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