MétaCan
Menu
← Back to cohort
Record W3186263232 · doi:10.1149/ma2021-01551403mtgabs

Strain-Mitigated Two Dimensional Based Electronics for Integrated Wearable Sensor-Systems

2021· article· en· W3186263232 on OpenAlexaff
Chris Williams, Shideh Kabiri Ameri

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsQueen's University
Fundersnot available
KeywordsElectronicsWearable computerWearable technologyElectronic circuitTransistorComputer scienceExploitIntegrated circuitElectrical engineeringElectronic engineeringEmbedded systemEngineering

Abstract

fetched live from OpenAlex

The ability to fabricate incredibly sophisticated integrated circuits at low cost rendered modern electronics more affordable, efficient, and functional. This monumental advance in technology would usher in the age of the Internet-of-things and transform wearable electronics from a largely academic pursuit into an everyday reality around which a robust and rapidly growing industry has formed. However, even the highly connected wearable electronics of today leave much to be desired with respect to their compatibility with soft tissues such as skin. More specifically, the poor compliance of the rigid, silicon-based integrated circuits conventionally used in the construction of these devices with the soft, curvilinear surfaces of the human body can result in high impedances at the skin-sensor interface which in turn contribute to low signal-to-noise ratios as well as poor sensitivity and accuracy. Motion artifacts originating from the poor conformability of such devices only exacerbate these problems. This mechanical mismatch represents a significant hurdle in the effort to move away from the conventional reactive approach to healthcare towards a more proactive approach that leverages ‘truly’ wearable sensors to improve health outcomes. Transistors are the building blocks upon which the vast majority of modern electronics are built. Although single transistors can be used to amplify or otherwise control electronic signals using only a small input signal, most of their functionality comes in the form of integrated circuits (ICs) consisting of many connected transistors. Conventional techniques for fabricating ICs exploit the rigidity of the semiconducting silicon substrate to ensure the device performance is consistent throughout the circuit. In contrast, integrated circuits for highly compliant wearable electronics that can conform even to microscopic features of the skin[1,2] face the inherent challenge of maintaining their electrical performance under mechanical deformations. As is the case with most sensors, the front-end circuitry for these devices (responsible for conveying the information contained in the signal – either wirelessly or without wires – to the end user) requires reliable and performant integrated circuits. Of course, integrating soft, ultra-thin sensors with the rigid silicon-based integrated circuits results in a mechanical mismatch with mechanical failure at the interface where the two components meet being the most likely scenario. Instead, here we present an approach which uses two-dimensional (2D) transistors in a specially designed strain-neutralizing configuration which circumvents much of the difficulties associated with the aforementioned mismatch. The extraordinary properties of 2D materials—particularly their excellent mechanical flexibility, ultimate thinness, optical transparency, and favorable transport properties for realizing electronics—make them prime candidates for replacing conventional silicon-based transistor circuits in next-generation wearable applications. Using finite-element analysis we have designed and simulated a compliant, strain-insensitive substrate which can resist uniaxial applied strains upwards of 35%. Moreover, simulations of the electronic band structure of the transistors under applied strain is used to optimize the circuit design and further minimize the effect of strain in the transistors. These electronic and mechanical simulations are used together in the configuration and subsequent fabrication of fully integrated strain-neutralized 2D transistors compatible with state-of-the-art soft stretchable wearable sensors. [1]S. Kabiri Ameri et al., “Graphene electronic tattoo sensors,” ACS Nano, 11, 7634–7641, 2017. [2] S. Kabiri Ameri et al., “Imperceptible electrooculography graphene sensor system for human–robot interface”, npj 2D Materials and Applications, 2, 1-7, 2018.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.015
GPT teacher head0.234
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueECS Meeting Abstracts→Same topicAdvanced Sensor and Energy Harvesting Materials→French-language works237,207→