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Record W3183689713 · doi:10.1149/ma2021-0114664mtgabs

(Invited) Thickness-Modulated MoS2 for High-Frequency Electronic Applications

2021· article· en· W3183689713 on OpenAlexaff
Michael M. Adachi

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMaterials scienceOptoelectronicsDiodeHeterojunctionRectificationSemiconductorElectronic circuitLayer (electronics)Band gapVoltageNanotechnologyElectrical engineering

Abstract

fetched live from OpenAlex

Two dimensional transition metal dichalcogenides (TMDs) (e.g. MoS 2 ) are atomically thin semiconductors that have remarkable properties for electronic applications such as having a sizable electronic bandgap and relatively high carrier mobility. The atomically thin profile also facilitates the tuning of the electronic structure via surface effects such as charge traps and surface states. Two dimensional TMDs having two different thicknesses also have different electronic structures, forming heterojunctions. Here, we discuss the excellent rectification behavior of fabricated thickness-modulated (few layer - many layer) MoS 2 diodes, including a large reverse breakdown voltage exceeding 10V. The IV characteristics of the diodes can be strongly tuned by application of a gate voltage facilitating the demonstration of gate-voltage controlled tuning of simple electronic circuits. The thickness modulated diodes are also characterized for high-frequency electronic application.

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)0.001
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 score0.040
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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