Evidence map›Paper›PMID 42117916›Full record

ArticleNanomaterials (Basel, Switzerland)2026

Hierarchical Hybrid Electrodes (HHE) for Enhancing the Performance of Water Electrolysis Systems.

Sanskar Shrestha, Sathvik Peddamalla, Wenhu Wang, Sharmila M Mukhopadhyay

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sanskar ShresthaDepartment of Mechanical Engineering, Maine College of Engineering and Computing, the University of Maine, Orono, ME 04469, USA.
Sathvik PeddamallaFrontier Institute for Research in Sensor Technologies, the University of Maine, Orono, ME 04469, USA.ORCID 0009-0002-5231-5728
Wenhu WangFrontier Institute for Research in Sensor Technologies, the University of Maine, Orono, ME 04469, USA.ORCID 0000-0002-1389-2920
Sharmila M MukhopadhyayDepartment of Mechanical Engineering, Maine College of Engineering and Computing, the University of Maine, Orono, ME 04469, USA.

Funding

the National Science Foundation CBET # 1747826
6 · The paper itself

Abstract

Electrolysis of water is a promising emission-free approach of hydrogen production, making water electrolyzers important for many renewable energy systems. Electrochemical electrodes enriched with nanocatalysts can significantly advance such technologies, but the use of nanomaterials, deployed as packed powders or painted films, is generally limited by durability and reusability challenges. To overcome these deficiencies, we have fabricated hierarchical hybrid electrode (HHE) monoliths comprising carpet-like arrays of multiwalled carbon nanotubes covalently bonded to porous reticulated carbon foams that are further functionalized with strongly attached nanocatalysts. This paper presents our investigation of HHE materials with CNT carpets and palladium nanoparticle (PdNP) catalysts in two key electrolysis reactions: hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). Their performances in different electrolytes have been evaluated using cyclic voltammetry, linear sweep voltammetry and Tafel analysis. This architecture provided multi-faceted advantages, and the contribution of each nanocomponent in the monolith has been analyzed. The presence of Pd-NP in the HHE also improved the electrode's tolerance to Cl

Indexed as

carbon nanotubeshierarchical nano electrode structureshydrogen evolution reactionnanocatalystsoxygen evolution reaction

Identifiers

PMID42117916
PMCPMC13164860

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.