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Record W2945823400 · doi:10.1002/pssa.201900177

Negative Capacitance Transistor with Two‐Dimensional Channel Material (Molybdenum disulfide, MoS<sub>2</sub>)

2019· article· en· W2945823400 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuephysica status solidi (a) · 2019
Typearticle
Languageen
FieldEngineering
TopicFerroelectric and Negative Capacitance Devices
Canadian institutionsUniversity of Waterloo
FundersKorea Semiconductor Research ConsortiumNational Research Foundation of KoreaMinistry of Trade, Industry and EnergyMinistry of Science, ICT and Future PlanningNational Research Foundation
KeywordsMolybdenum disulfideNegative impedance converterFerroelectricityMaterials scienceTransistorOptoelectronicsField-effect transistorCapacitanceFerroelectric capacitorCapacitorSubthreshold swingElectrodeElectrical engineeringVoltageChemistryEngineeringComposite material

Abstract

fetched live from OpenAlex

Negative capacitance field effect transistor with two‐dimensional channel material (2D‐NCFET) has received lots of attention as a steep switching device for low power application. In this work, a P(VDF 0.75 ‐TrFE 0.25 ) ferroelectric capacitor is connected in series to the gate electrode of baseline FET with two‐dimensional channel material, i.e., molybdenum disulfide (MoS 2 ). With the help of negative capacitance effect in ferroelectric material (herein, notice that the NC effect is physically originated from the polarization switching in ferroelectric material), it is experimentally demonstrated that the 2D‐NCFET enables to achieve the sub‐60 mV/decade subthreshold swing (SS = 32 mV/decade at 300 K). Note that the SS of baseline FET used for the 2D‐NCFET is 110 mV/decade at 300 K.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
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 communication0.0000.001
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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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