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Record W4391097221 · doi:10.1109/lmag.2024.3356815

Radiation-Immune Spintronic Binary Synapse and Neuron for Process-in-Memory Architecture

2024· article· en· W4391097221 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

VenueIEEE Magnetics Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsInstitut interdisciplinaire d'innovation technologique
Fundersnot available
KeywordsXNOR gateComputer scienceTransistorStandby powerLogic gateElectronic circuitPower–delay productCarbon nanotube field-effect transistorMaterials scienceElectrical engineeringElectronic engineeringField-effect transistorEngineeringNAND gateVoltage

Abstract

fetched live from OpenAlex

This paper proposes an SEU-hardened task-scheduling logic in memory XNOR/XOR neuron and synapse circuits. Using C-element and magnetic tunnel junction enhances immunity against single event upset injection to the design. Also, using logic in memory architecture eliminates the need to access external memory and decreases power and delay. Furthermore, using the carbon nanotube field-effect transistor leads to lower leakage and static current caused by higher gate control in these transistors. Compared to the state-of-the-art counterparts, the proposed design offers at least 31%, 17%, and 3% improvement regarding power, power delay product, and power delay area product

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: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.598

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 head0.006
GPT teacher head0.222
Teacher spread0.216 · 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