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Record W2082217244 · doi:10.1143/jjap.49.090204

Nonvolatile Delay Flip-Flop Based on Spin-Transistor Architecture and Its Power-Gating Applications

2010· article· en· W2082217244 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJapanese Journal of Applied Physics · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum and electron transport phenomena
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsFlip-flopPower gatingTransistorGatingMOSFETPower (physics)CMOSSpin transistorElectrical engineeringComputer scienceMaterials scienceElectronic engineeringOptoelectronicsPhysicsEngineeringVoltageElectron

Abstract

fetched live from OpenAlex

We propose and computationally analyze a new type of nonvolatile delay flip-flop (NV-DFF) based on spin-transistor architecture, in which pseudo-spintransistors consisting of an ordinary metal–oxide–semiconductor filed-effect transistor (MOSFET) and a magnetic tunnel junction, referred to as pseudo-spin-MOSFETs are used as a functional nonvolatile storage element. The proposed circuit not only operates as an ordinary DFF, but also is shut down without losing its data. The NV-DFF has only slight increases in circuit delay and layout area within 10% in comparison with an ordinary DFF. Analysis of break-even time (one of the indices for evaluating power-gating efficiency) reveals that the proposed NV-DFF is acceptable for power-gating architecture.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.733

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 integrity0.0000.001
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 head0.005
GPT teacher head0.217
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