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Record W4409370529 · doi:10.1016/j.nanoen.2025.111001

Charge pumping triboelectric metamaterials with capacitor-enabled multifunctionalities

2025· article· en· W4409370529 on OpenAlexafffund
Haoyu Chen, Jiahao Shi, Lifu Yan, Naomi Keena, Abdolhamid Akbarzadeh

Bibliographic record

VenueNano Energy · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesChina Scholarship CouncilCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsMcGill University
KeywordsTriboelectric effectMaterials scienceCapacitorMetamaterialCharge (physics)OptoelectronicsVoltageElectrical engineeringEngineering physicsComposite material

Abstract

fetched live from OpenAlex

Most traditional triboelectric nanogenerators (TENGs) feature alternating current (AC) output and cannot be directly utilized as a power source to charge energy storage systems or drive direct current (DC) electronic devices. Converting AC into DC typically requires stiff and complicated rectifier bridge circuits, which hinders TENG’s integration into rationally designed flexible three-dimensional architectures to construct all-in-one energy harvesting-storing multifunctional metamaterials. Herein, triboelectric metamaterial (TM) with a charge pumping mechanism is developed to harvest energy from linear mechanical motions and generate DC output. The TM incorporates a capacitor composed of negative electrodes and an assistant electrode for charge storing and charge transfer boosting. Under open-circuit conditions, triboelectric charges are sustainably accumulated and stored within all the electrodes. With the extra charge storage of the capacitor formed by the negative electrode and the assistant electrode, the TMs’ charge-storing capability can be enhanced by 203 %. Moreover, the accumulated charges in the assistant electrode during open-circuit energy harvesting amplify the short-circuit charge output by 55.6 % through electrostatic induction. TM’s inner part can serve as a portable power source storing the harvested electricity independently upon completion of the TM’s open-circuit energy harvesting. In addition, the TM can detect the proximity of charge-carrying objects by monitoring fluctuations in open-circuit voltage over time. The seamless integration of charge pumping, energy storing, and sensing functionalities offered by the TMs imparts paradigm shifts in energy harvesters to be applied as portable green power sources and self-sensing intelligent suspension systems. • Developing a triboelectric metamaterial (TM) with a charge pumping mechanism for efficient energy harvesting and storage. • Increasing the TM’s charge-storing capacity by 203 % with the capacitor formed by the negative and assistant electrodes. • Enhancing the TM’s short-circuit charge output by 55.6 % by the accumulated charges in the assistant electrode. • Utilizing TM’s inner part as an independent and portable power source to store harvested electricity. • Self-powered sensing of the approaching and departing of charge-carrying objects.

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 score0.171
Threshold uncertainty score0.828

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 head0.008
GPT teacher head0.195
Teacher spread0.188 · 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

Citations10
Published2025
Admission routes2
Has abstractyes

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