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Record W4229845289 · doi:10.1149/ma2018-01/29/1712

Electrocatalytic Activity of Amorphous Ni-Nb-Y Alloys for the HER in Alkaline Water Electrolysis

2018· article· en· W4229845289 on OpenAlexaff
Samy Ghobrial, Steven J. Thorpe, Donald W. Kirk

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceAmorphous solidCatalysisChemical engineeringElectrolysis of waterAmorphous metalElectrolysisYttriumElectrochemistryAlloyNickelInorganic chemistryMetallurgyOxideChemistryPhysical chemistryElectrolyteOrganic chemistryElectrode

Abstract

fetched live from OpenAlex

Introduction: The recent development of anion exchange membranes (AEM) has renewed interest in alkaline water electrolysis for large-scale production of hydrogen gas. These systems can achieve current densities comparable to PEM-based systems while enabling the use of non-PGMs as catalyst materials. New electrocatalysts are required to interface with such AEMs in advanced alkaline water electrolyser designs. Amorphous alloys have previously been proposed as electrocatalysts due to their unique atomic structure, which results in electrochemical properties particularly suitable for catalysis. These properties include a high density of co-ordinatively unsaturated sites, a much greater solute solubility allowing for highly tunable homogeneous compositions, and a high stability against surface segregation of solute atoms [1-3]. To date, amorphous alloys have been underutilized as catalysts due to the lack of suitable methods to increase their electrochemically active surface area. Mechanical alloying and subsequent dealloying can be used to overcome this issue to yield 3D mesoporous and nanoporous amorphous structures. The present work assesses the role of structure and chemistry on the catalytic activity of Ni-Nb-Y amorphous alloys towards the hydrogen evolution reaction. Ni-based alloys exhibit some of the highest activity among the non-PGM catalysts while yttrium and niobium are excellent glass formers and offer interesting catalytic performance, particularly yttrium which has shown high catalytic activity when alloyed with nickel [4, 5]. Experimental Methods: Cryogenic ball milling of elemental powders was used to synthesize a novel high surface area amorphous Ni79.2Nb12.5Y8.3 alloy. Composite amorphous alloys with minor secondary crystalline phases (Ni5Y and Y2O3) were also synthesized and evaluated. X-ray diffraction and electron microscopy were used to analyze the alloy structures and particle morphology. Working electrodes were prepared by synthesizing catalyst suspensions consisting of the alloyed powder along with Nafion® 117 solution and iso-propanol and drop casting said suspensions on glassy carbon electrodes. Electrochemical characterization was assessed through steady state polarization (Tafel) curves, cyclic voltammetry, and AC impedance spectroscopy. Results and Discussion: The Ni79.2Nb12.5Y8.3 amorphous alloy exhibited improved intrinsic catalytic performance compared to nickel, and the addition of minor secondary crystalline phases, namely Ni5Y, resulted in even greater intrinsic performance. Electrochemical testing revealed this trend to be consistent even when testing amorphous composite materials containing higher (Ni81.3Nb6.3Y12.5) and lower (Ni77.1Nb18.8Y4.2) Y content. Tafel measurements for Ni-Nb-Y alloys can be seen in figure 1 with corresponding data summarized in table 1. These alloys highlight the improved catalytic performance to be a result of the secondary Ni5Y phase as opposed to the total alloying content. These results warrant further electrochemical characterization of multiphase amorphous nickel alloys with finely dispersed crystallinity for catalyst development. Conclusions and Future Work: The mechanical alloying process can be used to produce highly tunable chemical compositions where then the addition of finely dispersed secondary crystalline phases result in improved catalytic activity. The preliminary electrochemical results illustrate that mechanically alloyed Ni-based amorphous materials are promising catalyst precursors for clean electrochemical hydrogen production. References: [1] A. Molnar, G. Smith, and M. Bartok, Adv. Catal., 36, 329-383 (1989). [2] J. Deng, H. Li, and W. Wang, Catal. Today, 51, 113-125 (1999). [3] M. Carmo, R. Sekol, S. Ding, G. Kumar, J. Schroers and A. Taylor. ACS Nano, 5 (4) 2979-2983 (2011). [4] F. Rosalbino, S. Delsante, G. Borzone, and E. Angelini. Int. J. Hydrogen Energy, 33, 6696-6703 (2008). [5] F. Rosalbino, S. Delsante, G. Borzone and E. Angelini. J. Alloys Compd., 429, 270-275, (2007) Figure 1

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 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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.233
Teacher spread0.222 · 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".

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Citations1
Published2018
Admission routes1
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