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Record W4403122251 · doi:10.1021/acs.nanolett.4c02616

Understanding the Impact of Contact-Induced Strain on the Electrical Performance of Monolayer WS<sub>2</sub> Transistors

2024· article· en· W4403122251 on OpenAlexfundno aff
Lauren Hoang, Marc Jaikissoon, Çağıl Köroğlu, Zhepeng Zhang, Robert K. A. Bennett, Jung‐Hwan Song, Jerry A. Yang, Jung-Soo Ko, Mark L. Brongersma, Krishna C. Saraswat, Eric Pop, Andrew J. Mannix

Bibliographic record

VenueNano Letters · 2024
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsnot available
FundersU.S. Department of EnergyDivision of Electrical, Communications and Cyber SystemsBasic Energy SciencesNatural Sciences and Engineering Research Council of CanadaOffice of ScienceSamsungDefense Advanced Research Projects AgencyDivision of Materials Sciences and EngineeringSemiconductor Research CorporationNational Science FoundationStanford SystemX AllianceNational Science Foundation Graduate Research Fellowship ProgramIntel CorporationSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsMonolayerContact resistanceTransistorElectronicsMaterials scienceStrain (injury)Electrical contactsNanotechnologyOptoelectronicsEngineering physicsElectrical engineeringPhysicsEngineeringVoltageLayer (electronics)

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Two-dimensional (2D) electronics require low contact resistance ( R C ) to approach their fundamental limits. WS 2 is a promising 2D semiconductor that is often paired with Ni contacts, but their operation is not well understood considering the nonideal alignment between the Ni work function and the WS 2 conduction band. Here, we investigate the effects of contact size on nanoscale monolayer WS 2 transistors and uncover that Ni contacts impart stress, which affects the WS 2 device performance. The strain applied to the WS 2 depends on contact size, where long (1 μm) contacts ( R C ≈ 1.7 kΩ·μm) show a 78% reduction in R C compared to shorter (0.1 μm) contacts ( R C ≈ 7.8 kΩ·μm). We also find that thermal annealing can relax the WS 2 strain in long-contact devices, increasing R C to 8.5 kΩ·μm. These results reveal that thermo-mechanical phenomena can significantly influence 2D semiconductor–metal contacts, presenting opportunities to optimize device performance through nanofabrication and thermal budget.

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 score0.003
Threshold uncertainty score0.260

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 head0.052
GPT teacher head0.265
Teacher spread0.212 · 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

Citations15
Published2024
Admission routes1
Has abstractyes

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