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Record W4412632463 · doi:10.11159/ehst25.140

Hollow Multicavity Carbon Spheres (HMCS) as a Ni Electrocatalyst Support for Alkaline Water Electrolyser Cathodes

2025· article· en· W4412632463 on OpenAlexaff
Ahmed Abdulla Ahmed Almaazmi, Sasha Omanovic

Bibliographic record

VenueProceedings of the International Conference of Energy Harvesting, Storage, and Transfer · 2025
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsElectrocatalystCathodeSPHERESCarbon fibersMaterials scienceChemical engineeringElectrodeChemistryElectrochemistryComposite materialPhysicsEngineering

Abstract

fetched live from OpenAlex

To transition to a hydrogen economy, where hydrogen is used in industries such as transportation, ammonia production, steel manufacturing, and for the storage of surplus solar and wind produced electrical energy, cost reductions in hydrogen production are essential.Water electrolysis has been identified as a promising solution to produce green hydrogen [1].However, such produced hydrogen is still not cost-competitive to hydrogen produced from natural gas, partly due to the nonsatisfactory performance of electrode materials.Consequently, by developing cost-effective and efficient non-precious electrocatalysts and better electrocatalyst supports, large-scale green hydrogen production via water electrolysis can become more viable, reducing carbon emissions across multiple sectors.In acidic polymer-electrolyte-membrane (PEM) and alkaline anion exchange membranes (AEM) water electrolysers for hydrogen production, nanostructured cathode electrocatalysts are immobilized on a carbon black support [2].The primary purpose of the support is to maximize the utilization of the nanostructured electrocatalyst and minimize its agglomeration.Herein, we present our recent work on the fabrication of hollow multiactivity carbon spheres (HMCS) and their use as a support for nickel electrocatalyst in alkaline water electrolysis cathodes.The HMCS were synthesized by first fabricating Polymer Hollow Carbon Spheres (PHCS) employing Pluronic F127, aniline and pyrrole, followed by their carbonisation at 700 o C in an Ar atmosphere to produce HMCS [3].Consequently, Ni nanoparticles were immobilized on HMCS by chemical reduction of NiSO6HO employing NaBH.Two types of HMCS were used: 'as-prepared' and 'activated', the latter representing HMCS activated by oxidation in a mixture of sulphuric and nitric acid.Ni/HMCS materials with various loadings of Ni were produced.Such prepared Ni/HMCS electrocatalysts were tested as a cathode material for hydrogen evolution in 1M KOH.Linear polarisation measurements were performed in a three-electrode cell, with the Ni/HMCS as a cathode material, platinum as a counter (anode) materials, and a Hg/HgO as a reference electrode.A flat nickel plate was used as a control cathode.Scanning and transmission electron microscopy, energy-dispersive X-ray spectroscopy, Raman and X-ray diffraction spectroscopy, BET and H2-chemisorption measurements were performed in order to characterize surface, structural and chemical properties of the produced materials.It was determined that the diameter of the produced HMCS ranged from 45 to 200 nm, depending on their post-treatment (as-prepared vs. activated), and their structure was found to be amorphous.The HMCS exhibited a high specific surface area (up to 28410 mg -1 ) and pore diameter of 175 nm, rendering them a good support for immobilization of electrocatalysts.The distribution of the immobilized Ni nanoparticles was found to be uniform, with the average particle size of 15 nm.The Ni nanoparticles were also found to be amorphous.Chemisorption measurements revealed that the specific area of Ni nanoparticles was up to 0.896 mg -1 , depending on the post-treatment of HMCS.Electrochemical measurements revealed excellent electrocatalytic properties of the produced Ni/HMCS cathodes, yielding a significantly higher electrocatalytic activity when compared to the Ni-plate control.These results highlight HMCS as a promising metal-catalyst support for water electrolysis in alkaline media.

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 score0.031
Threshold uncertainty score0.514

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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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