MétaCan
Menu
Back to cohort
Record W2060210710 · doi:10.1038/am.2014.124

Observation of a giant two-dimensional band-piezoelectric effect on biaxial-strained graphene

2015· article· en· W2060210710 on OpenAlexfundno aff
Xiaomu Wang, He Tian, Weiguang Xie, Yi Shu, Wen‐Tian Mi, Mohammad Mohammad, Qian‐Yi Xie, Yi Yang, Jianbin Xu, Tian‐Ling Ren

Bibliographic record

VenueNPG Asia Materials · 2015
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaState Key Laboratory of Automotive Safety and EnergyChinese University of Hong KongSpecial Fund for Agro-scientific Research in the Public InterestNatural Sciences and Engineering Research Council of CanadaTsinghua University
KeywordsGrapheneMaterials sciencePiezoelectricityNanoelectromechanical systemsFlexoelectricityNanogeneratorNanotechnologyOptoelectronicsPiezoelectric coefficientDipoleComposite material

Abstract

fetched live from OpenAlex

Piezoelectric materials used in the development of nanoscale mechanical sensors, actuators and energy harvesters have received much attention. More recently, devices made of graphene are of particular interest because of graphene’s intriguing electronic and mechanical properties. Intrinsic graphene has long been considered devoid of the piezoelectric effect, although flexoelectricity has been exploited to demonstrate piezoelectricity in functionalized graphene and graphene nanoribbons. The perceived lack of this property has restricted graphene’s use in nanoelectromechanical systems (NEMS) for electromechanical coupling purposes. Here an unprecedented two-dimensional (2D) piezoelectric effect on a strained/unstrained graphene junction is reported. In stark contrast to the bulk piezoelectric effect that results from the occurrence of electric dipole moments in solids, the 2D piezoelectric effect arises from the charge transfer along a work function gradient introduced by the biaxial-strain-engineered band structure. The observed effect, termed the band-piezoelectric effect, exhibits an enormous magnitude due to the ultrathin structure of graphene. On the basis of the band-piezoelectric effect, a graphene nanogenerator and a pressure gauge were fabricated. The results not only provide a versatile NEMS platform for sensing, actuating and energy harvesting, but also pave the way for efficiently modulating graphene via strain engineering. Researchers in China have observed two-dimensional piezoelectricity in graphene by subjecting it to an in-plane biaxial strain. This is highly significant as intrinsic graphene has long been considered to be devoid of piezoelectricity and hence has found limited use in nanoelectromechanical systems (NEMS) for electromechanical coupling. The effect is considered to originate from charge transfer along the work-function gradient arising from the modified band structure induced by the biaxial strain. The extreme thinness of graphene means that its piezoelectric coefficient is about two orders of magnitude higher than that of bulk piezoelectric materials. The researchers demonstrated the effect by fabricating a graphene-based piezoelectric nanogenerator and high-sensitivity pressure gauge. This finding opens the possibility of realizing novel two-dimensional electromechanical coupling and graphene strain engineering as well as using graphene-based NEMS for sensing, actuating and energy harvesting. Graphene is an emerging material for nanoelectromechanical systems (NEMS) due to its intriguing electronic properties and promising mechanical character. However, intrinsic graphene has long been considered devoid of piezoelectric effect which restricts its electromechanical coupling ability. We report on a giant two-dimensional (2D) piezoelectric effect on an intrinsic graphene-based NEMS platform, which results from dynamical adjustment of band structure-induced polarization instead of occurrence of electric dipoles at the molecular level. These findings not only open an avenue for dynamical strain-engineered 2D electronics, but also pave the way for low-cost sensing and energy harvesting applications.

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)0.002
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 score0.004
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.038
GPT teacher head0.299
Teacher spread0.261 · 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

Citations75
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueNPG Asia MaterialsSame topicGraphene research and applicationsFrench-language works237,207