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Record W4409584103 · doi:10.1002/marc.202500134

Self‐Sustained Liquid Crystal Elastomer Actuators with Geometric Zero‐Elastic‐Energy Modes

2025· article· en· W4409584103 on OpenAlexaff
Tongzhi Zang, Reyihanguli Muhetaer, Chun Zhang, Shuang Fu, J. Y. Cheng, Xili Lu, Jianshe Hu, Hesheng Xia, Yue Zhao

Bibliographic record

VenueMacromolecular Rapid Communications · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsUniversité de Sherbrooke
FundersState Key Laboratory of Polymer Materials EngineeringDepartment of Science and Technology of Sichuan ProvinceNational Natural Science Foundation of China
KeywordsActuatorSoft roboticsElastomerRoboticsSmart materialMechanism (biology)Mechanical engineeringPerspective (graphical)Mechanical energyLiquid crystalRobotArtificial muscleComputer scienceMaterials scienceEnergy (signal processing)Control engineeringNanotechnologyArtificial intelligenceEngineeringPhysicsComposite materialOptoelectronics

Abstract

fetched live from OpenAlex

Recently, a novel and fascinating actuation mode of liquid crystal elastomers (LCEs), known as geometric zero-elastic-energy modes (ZEEMs), has drawn intensive research interest. Based on this actuation mechanism, LCE actuators exhibit untethered, autonomous movements under external stimulations, demonstrating significant potential for applications in intelligent soft robots, autonomous energy conversion systems, and smart optical tuning components. This perspective provides a timely summary of the current research on LCE actuators based on ZEEMs and highlights their future development trends and prospects, which will be of great interest to broad communities of researchers in fields of LCEs, biomimetic smart materials, soft robotics, and actuators.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.005
GPT teacher head0.211
Teacher spread0.206 · 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.

Study designBench or experimental
Domainnot available
GenreMethods

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

Citations4
Published2025
Admission routes1
Has abstractyes

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