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Record W4401247043 · doi:10.1109/jflex.2024.3437369

Simulation and Modeling of Emerging Heterojunction Transistors: Toward Rational Design and Optimization

2024· article· en· W4401247043 on OpenAlex
Hocheon Yoo, Ryoma Hayakawa, Yutaka Wakayama, Chang‐Hyun Kim

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Journal on Flexible Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaNational Research Foundation of Korea
KeywordsHeterojunctionTransistorRational designComputer scienceSystems engineeringMaterials scienceEngineeringNanotechnologyOptoelectronicsElectrical engineering

Abstract

fetched live from OpenAlex

This review summarizes the recent progress in the simulation and modeling of two important types of thin-film heterojunction transistors. Both structures functionally rely on the formation of a lateral p-n junction inside a single source-to-drain channel. However, different extents of vertical overlap between the p- and n-type semiconductor films produce unique switching characteristics of the respective systems. Experimental evidences behind recent theoretical models and the predictive capabilities of these models are illustrated with published examples. Simulation results of multivalued logic (MVL) circuits built with these heterojunction transistors are also discussed to emphasize practical aspects of device modeling for circuit- and system-level optimization.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.471

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 head0.045
GPT teacher head0.286
Teacher spread0.241 · 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