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Record W4393112286 · doi:10.1021/acsapm.4c00092

Impact of Mechanical Stress on Shellac-Based Organic Field-Effect Transistors Fabricated on Paper Substrates

2024· article· en· W4393112286 on OpenAlexafffund
Daniella Skaf, Tiago Carneiro Gomes, Rahaf Nafez Hussein, Gnanesh Nagesh, Mohammed Jalal Ahamed, Tricia Breen Carmichael, Simon Rondeau‐Gagné

Bibliographic record

VenueACS Applied Polymer Materials · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShellacMaterials scienceStress (linguistics)Field-effect transistorTransistorOptoelectronicsComposite materialElectrical engineeringEngineeringVoltage

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Recent advancements in the development of organic electronics have led to the investigation of natural, biodegradable materials to achieve greener alternatives to current electronics. Shellac, a natural resin material, has recently shown great potential as a dielectric and substrate in greener organic electronics. With this material, the evaluation of other properties, such as mechanical compatibility, is necessary to explore the avenue of naturally sourced materials in the development of biodegradable, flexible electronics. This work investigates the effects of mechanical strains on the performance of functional paper-based organic field-effect transistors through compressive and tensile cyclic bending to examine the stability of the devices. Bottom-gate top-contact organic field-effect transistors were fabricated on paper using a DPP-based polymer (semiconductor) and shellac (dielectric). Finite element simulation was performed to provide a better understanding of the low and high areas of strain on the devices. Based on repetitive bending results, the devices undergoing compressive bending proved to be more stable over a period of 1000 cycles compared with the devices undergoing tensile bending. Our work confirms that the difference in Young’s modulus in these multilayered device structures significantly affects morphological changes during bending, with the presence of a layer of conjugated polymer mitigating these changes compared to shellac alone. Tensile bending in bilayer systems led to nanoscale crack formation, while compressive bending resulted in consistent microscale ridge formation, maintaining both consistent depth and height over 1000 cycles. Compressive bending exhibited superior electrical performance and stability, with devices experiencing slower declines in charge mobility and threshold voltages compared to those subjected to tensile bending, while repetitive bending perpendicular to the channel pathway hindered charge carrier movement due to the formation of cracks and ridges. The direction of bending, in relation to the direction of charge transport, also influenced the performance, exhibiting anisotropic properties due to mechanical stress. Through this study, we evaluate the electrical and mechanical capabilities of paper-based organic electronics in order to continue the optimization of these environmentally friendlier devices with the objective to highlight the potential of organic electronics as greener alternatives to current technologies.

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), Insufficient payload (model declined to judge)
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.233
Teacher spread0.225 · 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
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

Citations7
Published2024
Admission routes2
Has abstractyes

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