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Record W2982134097 · doi:10.1002/adma.201905433

Magneto‐Memristive Switching in a 2D Layer Antiferromagnet

2019· article· en· W2982134097 on OpenAlexafffund
Hyun Ho Kim, Shengwei Jiang, Bowen Yang, Shazhou Zhong, Shangjie Tian, Chenghe Li, Hechang Lei, Jie Shan, Kin Fai Mak, Adam W. Tsen

Bibliographic record

VenueAdvanced Materials · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsUniversity of Waterloo
FundersArmy Research OfficeFundamental Research Funds for the Central UniversitiesMinistry of Science, ICT and Future PlanningCanada First Research Excellence FundNational Research Foundation of KoreaAir Force Office of Scientific ResearchNational Key Research and Development Program of ChinaRenmin University of ChinaOffice of Naval ResearchNational Natural Science Foundation of China
KeywordsNeuromorphic engineeringMaterials scienceCondensed matter physicsHysteresisAntiferromagnetismQuantum tunnellingMemristorMagnetizationElectric fieldMagnetoMagnetoresistive random-access memorySpin (aerodynamics)Coupling (piping)Field (mathematics)FerromagnetismResistive touchscreenOptoelectronicsMagnetic fieldNanotechnologyVoltageElectronic engineeringRandom access memoryElectrical engineeringPhysicsComputer science

Abstract

fetched live from OpenAlex

Abstract Memristive devices whose resistance can be hysteretically switched by electric field or current are intensely pursued both for fundamental interest as well as potential applications in neuromorphic computing and phase‐change memory. When the underlying material exhibits additional charge or spin order, the resistive states can be directly coupled, further allowing electrical control of the collective phases. The observation of abrupt, memristive switching of tunneling current in nanoscale junctions of ultrathin CrI 3 , a natural layer antiferromagnet, is reported here. The coupling to spin order enables both tuning of the resistance hysteresis by magnetic field and electric‐field switching of magnetization even in multilayer samples.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations34
Published2019
Admission routes2
Has abstractyes

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